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University of Defense Technology,\n                        Changsha, 410073\uff0cChina","sequence":"additional","affiliation":[]},{"given":"Z.","family":"Liu","sequence":"additional","affiliation":[]},{"name":"College of\n                        Aeronautics and Astronautics, National University of Defense Technology,\n                        Changsha, 410073\uff0cChina","sequence":"additional","affiliation":[]},{"given":"Z.","family":"Xia","sequence":"additional","affiliation":[]},{"name":"College of\n                        Aeronautics and Astronautics, National University of Defense Technology,\n                        Changsha, 410073\uff0cChina","sequence":"additional","affiliation":[]},{"given":"L.","family":"Jin","sequence":"additional","affiliation":[]},{"name":"College of\n                        Aeronautics and Astronautics, National University of Defense Technology,\n                        Changsha, 410073\uff0cChina","sequence":"additional","affiliation":[]}],"member":"26714","container-title":["Journal of Applied Fluid Mechanics"],"language":"en","link":[{"URL":"http:\/\/jafmonline.net\/JournalArchive\/download?file_ID=48987&issue_ID=256","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/jafmonline.net\/JournalArchive\/download?file_ID=48987&issue_ID=256","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,10,2]],"date-time":"2020-10-02T20:36:19Z","timestamp":1601670979000},"score":28.963017,"resource":{"primary":{"URL":"http:\/\/jafmonline.net\/JournalArchive\/download?file_ID=48987&issue_ID=256"}},"issued":{"date-parts":[[2019,5,1]]},"references-count":0,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,5,1]]}},"URL":"https:\/\/doi.org\/10.29252\/jafm.12.03.29021","ISSN":["1735-3572","1735-3645"],"issn-type":[{"value":"1735-3572","type":"print"},{"value":"1735-3645","type":"electronic"}],"published":{"date-parts":[[2019,5,1]]}},{"indexed":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T16:10:57Z","timestamp":1758816657252,"version":"3.44.0"},"reference-count":0,"publisher":"GPPS","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2025,9,6]]},"abstract":"<jats:p>In the field of propulsion technology for large commercial aircraft, hybrid-electric propulsion systems have become a focal point of current research. Traditional turbofan engine components are highly thermodynamically coupled. The integration of electric motor systems has the potential to improve energy efficiency and enhance operational flexibility, especially when optimized at the system level. This study focuses on single-aisle regional aircraft and innovatively proposes a hybrid propulsion system based on variable power distribution. The system combines a solid oxide fuel cell (SOFC) with a dual-shaft turbine-less engine fuelled by methane, where the compressor is directly powered by the SOFC and the high and low-pressure spool speeds are decoupled by a power distribution system. To achieve precise evaluation of system dynamic performance, a component-level dynamic model of the SOFC hybrid propulsion system is developed based on thermodynamic principles and multidimensional coupled simulation methods. The transient simulation module comprehensively integrates dynamic effects including SOFC electrochemical dynamics and rotor inertia. The simulation results quantitatively characterize the influence of various transient effects on system dynamic response across acceleration and deceleration process, with particular emphasis on comparative analysis of safety performance evolution during acceleration\/deceleration transients. This systematic investigation provides valuable insights and design guidelines for the configuration optimization of future aircraft hybrid propulsion systems.<\/jats:p>","DOI":"10.33737\/gpps25-tc-056","type":"proceedings-article","created":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T15:42:48Z","timestamp":1758814968000},"source":"Crossref","is-referenced-by-count":0,"title":["Dynamic modeling of an integrated sofc hybrid propulsion system with variable power distribution"],"prefix":"10.33737","author":[{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"first","affiliation":[]},{"given":"Jinghui","family":"Xu","sequence":"first","affiliation":[]},{"given":"Zepeng","family":"Wang","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Xizhen","family":"Wang","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Kaiqiang","family":"Yang","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Juanzhang","family":"Xie","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Yongjun","family":"Zhao","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]}],"member":"19395","published-online":{"date-parts":[[2025,9,6]]},"event":{"name":"GPPS Shanghai25","acronym":"GPPS-TC-2025"},"container-title":["Proceedings of Global Power &amp; Propulsion Society"],"deposited":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T15:42:51Z","timestamp":1758814971000},"score":28.53764,"resource":{"primary":{"URL":"https:\/\/gpps.global\/wp-content\/uploads\/2025\/09\/GPPS-TC-2025_paper_056.pdf"}},"issued":{"date-parts":[[2025,9,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.33737\/gpps25-tc-056","ISSN":["2504-4400"],"issn-type":[{"value":"2504-4400","type":"print"}],"published":{"date-parts":[[2025,9,6]]}},{"indexed":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T04:19:26Z","timestamp":1745468366093,"version":"3.40.4"},"reference-count":0,"publisher":"NDT.net","content-domain":{"domain":[],"crossmark-restriction":false},"abstract":"<jats:p>\nThermal Protection Structure (TPS) plays an important role in reusable vehicles, ensuring the safety of internal structures and systems. Structural Health Monitoring (SHM) based on guided wave is a widely used method for structural damage diagnosis, where guided waves are analyzed to evaluate the structural state through wave excitation and reception by a sparse sensor array. However, the impact of thermal vibration cycles on structures can bring changes in the guided wave signals, leading to misjudgments in the monitoring results. In this study, thermal vibration cycle experiments are carried out to examine the impact of thermal vibration cycles on guided waves. The Multiscale Fuzzy Entropy (MFE) method is employed for feature extraction and Mahalanobis distance is used to detect outliers in the MFE. Experimental results on the TPS show that MFE effectively extracts damage-sensitive features, and Mahalanobis distance accurately distinguishes between healthy and damaged features.\n<\/jats:p>","DOI":"10.58286\/30980","type":"proceedings-article","created":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T14:28:51Z","timestamp":1745418531000},"source":"Crossref","is-referenced-by-count":0,"title":["Research on TPS damage identification method after thermal vibration cycles"],"prefix":"10.58286","author":[{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"first","affiliation":[]},{"given":"Haodong","family":"Zhong","sequence":"first","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Zhang","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Jinhao","family":"Qiu","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Chongcong","family":"Tao","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Hongli","family":"Ji","sequence":"additional","affiliation":[]},{"name":"HIWING Technology Academy","sequence":"additional","affiliation":[]},{"given":"Yupeng","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"37050","published-online":{"date-parts":[[2025,5]]},"event":{"name":"6th International Conference on Structural Health Monitoring and Integrity Management, 8 - 10 November 2024, Zhengzhou","location":"Zhengzhou","acronym":"ICSHMIM 2024","start":{"date-parts":[[2024,11,8]]},"end":{"date-parts":[[2024,11,10]]}},"container-title":["proceedings_title"],"deposited":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T14:28:54Z","timestamp":1745418534000},"score":28.495928,"resource":{"primary":{"URL":"https:\/\/www.ndt.net\/search\/docs.php3?id=30980"}},"issued":{"date-parts":[[2025,5]]},"references-count":0,"URL":"https:\/\/doi.org\/10.58286\/30980","published":{"date-parts":[[2025,5]]}},{"indexed":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T04:01:39Z","timestamp":1726113699190},"publisher-location":"12700 Sunrise Valley Drive, Suite 200, Reston, VA 20191","reference-count":0,"publisher":"American Institute of Aeronautics and Astronautics, Inc.","isbn-type":[{"type":"electronic","value":"9781624106132"}],"content-domain":{"domain":["arc.aiaa.org"],"crossmark-restriction":true},"published-print":{"date-parts":[[2020,1]]},"DOI":"10.2514\/4.106132","type":"book","created":{"date-parts":[[2021,1,14]],"date-time":"2021-01-14T13:34:45Z","timestamp":1610631285000},"update-policy":"http:\/\/dx.doi.org\/10.2514\/aiaa_crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Moving Mechanical Assemblies for Space and Launch Vehicles (AIAA S-114A-2020)"],"prefix":"10.2514","member":"1387","published-online":{"date-parts":[[2020,1,1]]},"language":"en","deposited":{"date-parts":[[2021,5,12]],"date-time":"2021-05-12T12:17:26Z","timestamp":1620821846000},"score":28.368729,"resource":{"primary":{"URL":"https:\/\/arc.aiaa.org\/doi\/book\/10.2514\/4.106132"}},"editor":[{"name":"American Institute of Aeronautics and Astronautics","sequence":"first","affiliation":[]}],"issued":{"date-parts":[[2020,1]]},"ISBN":["9781624106132"],"references-count":0,"alternative-id":["10.2514\/4.106132"],"URL":"https:\/\/doi.org\/10.2514\/4.106132","published":{"date-parts":[[2020,1]]}},{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T00:15:32Z","timestamp":1758845732836,"version":"3.44.0"},"reference-count":0,"publisher":"GPPS","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2025,9,6]]},"abstract":"<jats:p>Aero-engine gas path fault diagnosis faces cross-domain challenges due to differences in complex working conditions throughout the life cycle. Conventional diagnosis methods are difficult to cope with the inconsistency of data distribution between source and target domains, which leads to a significant decrease in the diagnostic effectiveness of the model on data from different domains. To improve the diagnostic performance for aeroengine gas path component in unlabelled cross-domain scenarios, a visual transformer multi-scale convolutional attention (ViTMCA) network structure is proposed for feature extraction and a loss function combined domain adversarial loss and feature alignment loss is developed for domain adaptation in this paper. The experimental results verify the adaptability and robustness of ViTMCA for cross domain fault diagnosis, achieves the highest accuracy of 95.84% in target domain diagnosis. The combination of multi scale convolution and self-attention mechanism proving the importance of local and global feature extraction and multi scale feature fusion for domain adaption. The integration of domain adversarial loss and Multi Kernel Maximum Mean Difference (MK-MMD) multi-layer feature alignment loss in the domain adaptive loss function realizes stronger domain invariant representation learning across source and target domain.<\/jats:p>","DOI":"10.33737\/gpps25-tc-200","type":"proceedings-article","created":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T10:43:17Z","timestamp":1758796997000},"source":"Crossref","is-referenced-by-count":0,"title":["A ViTMCA network for cross-domain fault diagnosis of aeroengine gas path"],"prefix":"10.33737","author":[{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"first","affiliation":[]},{"given":"Xizhen","family":"Wang","sequence":"first","affiliation":[]},{"given":"Zepeng","family":"Wang","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Bokun","family":"Zhao","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Jinghui","family":"Xu","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Yongjun","family":"Zhao","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]}],"member":"19395","published-online":{"date-parts":[[2025,9,6]]},"event":{"name":"GPPS Shanghai25","acronym":"GPPS-TC-2025"},"container-title":["Proceedings of Global Power &amp; Propulsion Society"],"deposited":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T10:48:39Z","timestamp":1758797319000},"score":28.213184,"resource":{"primary":{"URL":"https:\/\/gpps.global\/wp-content\/uploads\/2025\/09\/GPPS-TC-2025_paper_200.pdf"}},"issued":{"date-parts":[[2025,9,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.33737\/gpps25-tc-200","ISSN":["2504-4400"],"issn-type":[{"value":"2504-4400","type":"print"}],"published":{"date-parts":[[2025,9,6]]}},{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T15:59:48Z","timestamp":1723046388861},"reference-count":0,"publisher":"GPPS","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2019,9,16]]},"DOI":"10.33737\/gpps19-bj-104","type":"proceedings-article","created":{"date-parts":[[2019,10,11]],"date-time":"2019-10-11T13:09:18Z","timestamp":1570799358000},"source":"Crossref","is-referenced-by-count":0,"title":["Imaging Diagnositics of Combustion Instability in Premixed Swirling Combustion"],"prefix":"10.33737","author":[{"name":"School of Aeronautics and Astronautics, Zhejiang University, China","sequence":"first","affiliation":[]},{"given":"Yao","family":"Yang","sequence":"first","affiliation":[]},{"given":"Gaofeng","family":"Wang","sequence":"additional","affiliation":[]},{"name":"School of Aeronautics and Astronautics, Zhejiang University, China","sequence":"additional","affiliation":[]},{"given":"Yuanqi","family":"Fang","sequence":"additional","affiliation":[]},{"name":"School of Aeronautics and Astronautics, Zhejiang University, China","sequence":"additional","affiliation":[]},{"given":"Yifan","family":"Xia","sequence":"additional","affiliation":[]},{"name":"School of Aeronautics and Astronautics, Zhejiang University, China","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Zhong","sequence":"additional","affiliation":[]},{"name":"School of Aeronautics and Astronautics, Zhejiang University, China","sequence":"additional","affiliation":[]},{"name":"School of Aeronautics and Astronautics, Zhejiang University, China","sequence":"additional","affiliation":[]}],"member":"19395","published-online":{"date-parts":[[2019,9,16]]},"event":{"name":"GPPS Beijing19","acronym":"GPPS-BJ-2019"},"container-title":["Proceedings of Global Power &amp; Propulsion Society"],"deposited":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T15:39:41Z","timestamp":1619797181000},"score":28.212019,"resource":{"primary":{"URL":"http:\/\/gpps.global\/wp-content\/uploads\/2021\/02\/GPPS-BJ-2019_paper_104.pdf"}},"issued":{"date-parts":[[2019,9,16]]},"references-count":0,"URL":"https:\/\/doi.org\/10.33737\/gpps19-bj-104","ISSN":["2504-4400"],"issn-type":[{"type":"print","value":"2504-4400"}],"published":{"date-parts":[[2019,9,16]]}},{"indexed":{"date-parts":[[2025,4,24]],"date-time":"2025-04-24T04:19:26Z","timestamp":1745468366248,"version":"3.40.4"},"reference-count":0,"publisher":"NDT.net","content-domain":{"domain":[],"crossmark-restriction":false},"abstract":"<jats:p>\nThis paper presents a technology based on a laser point-by-point scanning excitation infrared thermography system (LPPS-IRT). It establishes the heat transfer equation for multi-pulse laser heating of materials. The technique involves heating the component point-by-point while acquiring a series of thermograms using an infrared camera. The study proposes a Pseudo-Static Matrix Reconstruction (PSMR) algorithm based on peak alignment and offset. The PSMR algorithm reconstructs the thermal image sequence, transforming the dynamic thermal sequence into a quasi-static form. Additionally, the study investigates the influence of different analysis window durations on defect identification and establishes the optimal range for these windows. Experimental results show that as the analysis window duration increases, the detection results effect gradually improves. When the analysis window is between 40 and 60, the processing effect is optimal, and the SNR for defect detection is highest.\n<\/jats:p>","DOI":"10.58286\/30982","type":"proceedings-article","created":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T14:28:51Z","timestamp":1745418531000},"source":"Crossref","is-referenced-by-count":0,"title":["Research on Analysis Window Control of Laser Point-by-Point Scanning Excitation Thermographic Detection"],"prefix":"10.58286","author":[{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"first","affiliation":[]},{"given":"Shuaishuai","family":"Gao","sequence":"first","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Zhang","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Jinhao","family":"Qiu","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Tingting","family":"Wu","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Hongjin","family":"Wang","sequence":"additional","affiliation":[]}],"member":"37050","published-online":{"date-parts":[[2025,5]]},"event":{"name":"6th International Conference on Structural Health Monitoring and Integrity Management, 8 - 10 November 2024, Zhengzhou","location":"Zhengzhou","acronym":"ICSHMIM 2024","start":{"date-parts":[[2024,11,8]]},"end":{"date-parts":[[2024,11,10]]}},"container-title":["proceedings_title"],"deposited":{"date-parts":[[2025,4,23]],"date-time":"2025-04-23T14:28:55Z","timestamp":1745418535000},"score":28.171154,"resource":{"primary":{"URL":"https:\/\/www.ndt.net\/search\/docs.php3?id=30982"}},"issued":{"date-parts":[[2025,5]]},"references-count":0,"URL":"https:\/\/doi.org\/10.58286\/30982","published":{"date-parts":[[2025,5]]}},{"indexed":{"date-parts":[[2025,9,26]],"date-time":"2025-09-26T00:15:23Z","timestamp":1758845723794,"version":"3.44.0"},"reference-count":0,"publisher":"GPPS","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2025,9,6]]},"abstract":"<jats:p>As a complex aerodynamic and thermodynamic system, the deployment of onboard sensors in aero-engines is constrained by harsh operating environments, cost, and design limitations. These restrictions pose challenges for the comprehensive measurement of critical gas path parameters. Traditional data-driven methods struggle to accurately reconstruct unmeasured parameters under complex flight conditions, limiting their effectiveness in onboard engineering applications. To address this issue, this paper proposes an improved generative diffusion model for high-precision reconstruction of unmeasured gas path parameters. The proposed method establishes a reconstruction framework based on onboard sensor data by learning the mapping relationships between measurable and unmeasurable parameters. Specifically, a component-level model is first pre-trained using historical sensor data, and then real-time measurable parameters are incorporated to infer the unmeasured gas path parameters. Experimental results demonstrate that under limited sensor measurement conditions and complex flight scenarios, the proposed method can accurately reconstruct unmeasured parameters. Compared to traditional data-driven methods, the reconstruction error is reduced from 6.35% to 0.42%, significantly improving prediction accuracy. In conclusion, the proposed method provides high-quality data support for aero-engine health management systems.<\/jats:p>","DOI":"10.33737\/gpps25-tc-057","type":"proceedings-article","created":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T10:43:17Z","timestamp":1758796997000},"source":"Crossref","is-referenced-by-count":0,"title":["Unmeasurable Aero-engine Gas Path Parameters Reconstruction based on Generation Diffusion Model"],"prefix":"10.33737","author":[{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"first","affiliation":[]},{"given":"Zepeng","family":"Wang","sequence":"first","affiliation":[]},{"given":"Jinghui","family":"Xua","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Xizhen","family":"Wang","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Jinxu","family":"Cai","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan","sequence":"additional","affiliation":[]},{"given":"Yongjun","family":"Zhaoa","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]}],"member":"19395","published-online":{"date-parts":[[2025,9,6]]},"event":{"name":"GPPS Shanghai25","acronym":"GPPS-TC-2025"},"container-title":["Proceedings of Global Power &amp; Propulsion Society"],"deposited":{"date-parts":[[2025,9,25]],"date-time":"2025-09-25T10:48:39Z","timestamp":1758797319000},"score":27.94984,"resource":{"primary":{"URL":"https:\/\/gpps.global\/wp-content\/uploads\/2025\/09\/GPPS-TC-2025_paper_057.pdf"}},"issued":{"date-parts":[[2025,9,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.33737\/gpps25-tc-057","ISSN":["2504-4400"],"issn-type":[{"value":"2504-4400","type":"print"}],"published":{"date-parts":[[2025,9,6]]}},{"indexed":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T22:06:50Z","timestamp":1715033210929},"reference-count":0,"publisher":"Elsevier","isbn-type":[{"value":"9780123957368","type":"print"}],"license":[{"start":{"date-parts":[[1966,1,1]],"date-time":"1966-01-01T00:00:00Z","timestamp":-126230400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[1966]]},"DOI":"10.1016\/b978-0-12-395736-8.50004-3","type":"book-chapter","created":{"date-parts":[[2019,1,16]],"date-time":"2019-01-16T02:12:07Z","timestamp":1547604727000},"page":"vii-viii","source":"Crossref","is-referenced-by-count":0,"title":["THE THERMOPHYSICS COMMITTEE OF THE AMERICAN INSTITUTE OF AERONAUTICS AND ASTRONAUTICS"],"prefix":"10.1016","member":"78","container-title":["Thermophysics and Temperature Control of Spacecraft and Entry Vehicles"],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780123957368500043?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780123957368500043?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,1,16]],"date-time":"2019-01-16T02:12:07Z","timestamp":1547604727000},"score":27.949568,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780123957368500043"}},"issued":{"date-parts":[[1966]]},"ISBN":["9780123957368"],"references-count":0,"URL":"https:\/\/doi.org\/10.1016\/b978-0-12-395736-8.50004-3","published":{"date-parts":[[1966]]}},{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T16:06:07Z","timestamp":1723046767624},"reference-count":0,"publisher":"GPPS","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2023,10,19]]},"abstract":"<jats:p>High-fidelity performance modeling is crucial for the development of aero-engine digital twin technology. The accuracy of component-level models heavily relies on the precision of characteristic maps, and inaccuracies in these maps can cause significant deviations between predicted and actual engine performance. A novel method of aero-engine performance adaptation based on adaptation factor surfaces is proposed, which aims to provide a performance matching method for aero-engines with a wide operating range. To improve the convergence and stability of the solution, a hybrid algorithm is proposed that fuses model and measured data to calculate the adaptation factor at the operating points. The modification of the characteristic maps is achieved in both directions by means of adaptive factor surfaces. The method is validated by simulating two engines with distinct maps, and the results show that the method significantly improves the model accuracy at the component level under widely varying operating conditions, taking into account the multidimensional aspects of the maps and the differences between the real engine and the model. The proposed approach has the potential to improve the accuracy and efficiency of digital twin technology for aero-engines.<\/jats:p>","DOI":"10.33737\/gpps23-tc-184","type":"proceedings-article","created":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T11:44:26Z","timestamp":1707997466000},"source":"Crossref","is-referenced-by-count":0,"title":["A Novel Performance Adaptation Method For Aero-Engine Matching Us-ing Adaptation Factor Surface"],"prefix":"10.33737","author":[{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"first","affiliation":[]},{"given":"Ye","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xizhen","family":"Wang","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Zepeng","family":"Wang","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Bokun","family":"Zhao","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Yongjun","family":"Zhaoa*","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]}],"member":"19395","published-online":{"date-parts":[[2023,10,19]]},"event":{"name":"GPPS Hong Kong23","acronym":"GPPS-TC-2023"},"container-title":["Proceedings of Global Power &amp; Propulsion Society"],"deposited":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T11:18:41Z","timestamp":1708600721000},"score":27.891188,"resource":{"primary":{"URL":"https:\/\/gpps.global\/wp-content\/uploads\/2023\/10\/GPPS-TC-2023_paper_184.pdf"}},"issued":{"date-parts":[[2023,10,19]]},"references-count":0,"URL":"https:\/\/doi.org\/10.33737\/gpps23-tc-184","ISSN":["2504-4400"],"issn-type":[{"type":"print","value":"2504-4400"}],"published":{"date-parts":[[2023,10,19]]}},{"indexed":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T22:07:08Z","timestamp":1715033228785},"reference-count":0,"publisher":"Elsevier","isbn-type":[{"value":"9780123957368","type":"print"}],"license":[{"start":{"date-parts":[[1966,1,1]],"date-time":"1966-01-01T00:00:00Z","timestamp":-126230400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[1966]]},"DOI":"10.1016\/b978-0-12-395736-8.50005-5","type":"book-chapter","created":{"date-parts":[[2019,1,15]],"date-time":"2019-01-15T22:40:03Z","timestamp":1547592003000},"page":"ix-x","source":"Crossref","is-referenced-by-count":0,"title":["THE THERMOPHYSICS COMMITTEE OF THE AMERICAN INSTITUTE OF AERONAUTICS AND ASTRONAUTICS"],"prefix":"10.1016","member":"78","container-title":["Thermophysics and Temperature Control of Spacecraft and Entry Vehicles"],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780123957368500055?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:B9780123957368500055?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2019,1,15]],"date-time":"2019-01-15T22:40:03Z","timestamp":1547592003000},"score":27.68888,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/B9780123957368500055"}},"issued":{"date-parts":[[1966]]},"ISBN":["9780123957368"],"references-count":0,"URL":"https:\/\/doi.org\/10.1016\/b978-0-12-395736-8.50005-5","published":{"date-parts":[[1966]]}},{"indexed":{"date-parts":[[2023,9,16]],"date-time":"2023-09-16T15:15:50Z","timestamp":1694877350972},"reference-count":0,"publisher":"Persiani Editore","isbn-type":[{"value":"9791259560063","type":"print"}],"content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2022]]},"DOI":"10.57640\/pro\/9791259560063\/","type":"proceedings","created":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T09:54:28Z","timestamp":1694771668000},"source":"Crossref","is-referenced-by-count":0,"title":["AIDAA International congress of aeronautics and astronautics"],"prefix":"10.57640","member":"39085","published-online":{"date-parts":[[2022]]},"event":{"name":"XXV International congress of aeronautics and astronautics","acronym":"AIDAA"},"container-title":["AIDAA International congress of aeronautics and astronautics"],"deposited":{"date-parts":[[2023,9,15]],"date-time":"2023-09-15T09:54:33Z","timestamp":1694771673000},"score":27.637995,"resource":{"primary":{"URL":"https:\/\/www.persianieditore.com\/book\/10.57640\/pro\/979-1-259-56006-3\/"}},"issued":{"date-parts":[[2022]]},"ISBN":["9791259560063"],"references-count":0,"URL":"https:\/\/doi.org\/10.57640\/pro\/9791259560063\/","ISSN":["2974-7139"],"issn-type":[{"value":"2974-7139","type":"print"}],"published":{"date-parts":[[2022]]}},{"indexed":{"date-parts":[[2024,8,7]],"date-time":"2024-08-07T16:07:07Z","timestamp":1723046827291},"reference-count":0,"publisher":"GPPS","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2023,10,19]]},"abstract":"<jats:p>Aeroengine health assessment is crucial to ensure flight safety and reliability. Traditionally, it involves diagnosing the performance of the aeroengine gas path. However, due to the complexity of operating conditions, non-linear performance, and the coupling of gas path performance fault characteristics, determining the aeroengine health condition directly from engine monitoring information is challenging, especially with insufficient sensor data. To tackle these challenges, a novel digital twin method for aeroengine performance diagnosis was proposed. This method utilizes data-driven and performance models, employing low-rank multimodal fusion. By digitizing the physical system or process through mathematical models and simulation technology, this approach offers distinct advantages compared to previous methods based solely on models or data. At the aeroengine component level, an adaptive model was employed, and the data-driven model was constructed using flight data. Support vector machines were utilized for gas path fault classification. The engine digital twin was created through low-order multimodal fusion. The results demonstrate that the proposed method achieves excellent diagnostic accuracy under both steady and transient conditions. It can be utilized to enhance engine performance monitoring and evaluation, as well as improve the reliability, availability, and efficiency of the engine.<\/jats:p>","DOI":"10.33737\/gpps23-tc-182","type":"proceedings-article","created":{"date-parts":[[2024,2,15]],"date-time":"2024-02-15T11:44:26Z","timestamp":1707997466000},"source":"Crossref","is-referenced-by-count":0,"title":["A novel approach to aeroengine performance diagnosis based on physical model coupling data-driven using low-rank multimodal fusion method"],"prefix":"10.33737","author":[{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"first","affiliation":[]},{"given":"Zepeng","family":"Wang","sequence":"first","affiliation":[]},{"given":"Xizhen","family":"Wang","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Ye","family":"Wang","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Bokun","family":"Zhao","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Yongjun","family":"Zhaoa*","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]}],"member":"19395","published-online":{"date-parts":[[2023,10,19]]},"event":{"name":"GPPS Hong Kong23","acronym":"GPPS-TC-2023"},"container-title":["Proceedings of Global Power &amp; Propulsion Society"],"deposited":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T11:18:41Z","timestamp":1708600721000},"score":27.456451,"resource":{"primary":{"URL":"https:\/\/gpps.global\/wp-content\/uploads\/2023\/10\/GPPS-TC-2023_paper_182.pdf"}},"issued":{"date-parts":[[2023,10,19]]},"references-count":0,"URL":"https:\/\/doi.org\/10.33737\/gpps23-tc-182","ISSN":["2504-4400"],"issn-type":[{"type":"print","value":"2504-4400"}],"published":{"date-parts":[[2023,10,19]]}},{"indexed":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T02:14:41Z","timestamp":1723083281067},"reference-count":0,"publisher":"NDT.net GmbH & Co. KG","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["eJNDT"],"abstract":"<jats:p>\nAccurate damage evaluation for an aircraft by using guided wave-based structural health monitoring (SHM) technology is in critical demand. An aircraft experiences various uncertainties during its service life, such as the time-varying environment, operational conditions, and different flight missions. Additionally, the actual aircraft structure involves complex structural forms such as varied thickness, stiffeners, ribs, and large cutouts, leading to a strong uncertainty of damage initiation and propagation. Consequently, when applied to an individual aircraft structure, the diagnosis model trained by prior data inevitably introduces errors, and the errors accumulate as the damage propagates, which brings challenges in engineering application. To achieve individual aircraft structure\u2019s more accurate damage evaluation, an on-line updated guided wave-based Gaussian process (GP) damage evaluation method is investigated in this paper. Multi-source data from the design, service, and maintenance stages are utilized to continuously update and evolve the GP model, enabling its accurate evaluation throughout the long-term service life. \n<\/jats:p>","DOI":"10.58286\/29728","type":"journal-article","created":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T15:09:53Z","timestamp":1719673793000},"source":"Crossref","is-referenced-by-count":0,"title":["On-line Updated Guided Wave-Based Gaussian Process Method for  Damage Evaluation of Aircraft Structure"],"prefix":"10.58286","volume":"29","author":[{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"first","affiliation":[]},{"given":"Lin","family":"Tong","sequence":"first","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Hutao","family":"Jing","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Chen","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Shenfang","family":"Yuan","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Hui","family":"Wang","sequence":"additional","affiliation":[]}],"member":"37050","published-online":{"date-parts":[[2024,7]]},"container-title":["e-Journal of Nondestructive Testing"],"deposited":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T15:14:28Z","timestamp":1719674068000},"score":27.214838,"resource":{"primary":{"URL":"https:\/\/www.ndt.net\/search\/docs.php3?id=29728"}},"issued":{"date-parts":[[2024,7]]},"references-count":0,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2024,7]]}},"URL":"https:\/\/doi.org\/10.58286\/29728","ISSN":["1435-4934"],"issn-type":[{"type":"electronic","value":"1435-4934"}],"published":{"date-parts":[[2024,7]]}},{"indexed":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T10:40:24Z","timestamp":1727260824832},"reference-count":0,"publisher":"GPPS","content-domain":{"domain":[],"crossmark-restriction":false},"published-print":{"date-parts":[[2024,9,6]]},"abstract":"<jats:p>Condition monitoring plays an important role in the safety and reliability of aero-engine. In this paper, a novel deep multimodal information fusion (MIF) method is proposed, which integrates information from the physical-based model and the data-driven model. Two deep Boltzmann machines are constructed for feature extraction from sensor data and model simulation data, respectively. Whereby information from these two modalities is mapped into a high-dimensional space and forms a joint representation, and then combined with a multi-layer feedforward neural network to form the MIF model for real-time performance simulation and prediction. Compared with the traditional single-modality method, the proposed method fuses the information of two key modalities. The experimental results indicate that proposed method improves the accuracy of engine parameters prediction.<\/jats:p>","DOI":"10.33737\/gpps24-tc-004","type":"proceedings-article","created":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T09:29:37Z","timestamp":1727256577000},"source":"Crossref","is-referenced-by-count":0,"title":["A novel deep multimodal information fusion model for aero-engine state prediction"],"prefix":"10.33737","author":[{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"first","affiliation":[]},{"given":"Yufeng","family":"Huang","sequence":"first","affiliation":[]},{"given":"Gang","family":"Sun","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Jun","family":"Tao","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]},{"given":"Jinzhang","family":"Feng","sequence":"additional","affiliation":[]},{"name":"Department of Aeronautics & Astronautics, Fudan University","sequence":"additional","affiliation":[]}],"member":"19395","published-online":{"date-parts":[[2024,9,6]]},"event":{"name":"GPPS Chania24","acronym":"GPPS-TC-2024"},"container-title":["Proceedings of Global Power &amp; Propulsion Society"],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T09:29:37Z","timestamp":1727256577000},"score":27.07708,"resource":{"primary":{"URL":"https:\/\/gpps.global\/wp-content\/uploads\/2024\/09\/GPPS-TC-2024_paper_004.pdf"}},"issued":{"date-parts":[[2024,9,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.33737\/gpps24-tc-004","ISSN":["2504-4400"],"issn-type":[{"value":"2504-4400","type":"print"}],"published":{"date-parts":[[2024,9,6]]}},{"indexed":{"date-parts":[[2025,11,2]],"date-time":"2025-11-02T01:04:02Z","timestamp":1762045442587,"version":"build-2065373602"},"reference-count":0,"publisher":"Engineered Science Publisher","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["ES Energy Environ."],"published-print":{"date-parts":[[2022]]},"DOI":"10.30919\/esee8c617","type":"journal-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T17:05:02Z","timestamp":1641834302000},"source":"Crossref","is-referenced-by-count":7,"title":["CuxNiy\/2TiO2-CeO2 Catalysts for Effective Syngas Production in Methanol Steam Reforming"],"prefix":"10.30919","author":[{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"first","affiliation":[]},{"given":"Chuang","family":"Bao","sequence":"first","affiliation":[]},{"given":"Xianglei","family":"Liu","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"name":"Key Laboratory of Thermal Management and Energy Utilization of Aviation Vehicles, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Zhonghui","family":"Zhu","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Tong","family":"Wang","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Hangbin","family":"Zheng","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Song","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Qiao","family":"Xu","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Ke","family":"Gao","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Tian","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Qingyang","family":"Luo","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Chunzhuo","family":"Dang","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]},{"given":"Haichen","family":"Yao","sequence":"additional","affiliation":[]},{"name":"School of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China","sequence":"additional","affiliation":[]}],"member":"12370","published-online":{"date-parts":[[2022]]},"container-title":["ES Energy &amp; Environment"],"deposited":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T17:05:04Z","timestamp":1641834304000},"score":26.976362,"resource":{"primary":{"URL":"https:\/\/www.espublisher.com\/journals\/articledetails\/617"}},"issued":{"date-parts":[[2022]]},"references-count":0,"URL":"https:\/\/doi.org\/10.30919\/esee8c617","ISSN":["2578-0646","2578-0654"],"issn-type":[{"type":"print","value":"2578-0646"},{"type":"electronic","value":"2578-0654"}],"published":{"date-parts":[[2022]]}},{"indexed":{"date-parts":[[2024,8,8]],"date-time":"2024-08-08T02:14:40Z","timestamp":1723083280272},"reference-count":0,"publisher":"NDT.net GmbH & Co. KG","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["eJNDT"],"abstract":"<jats:p>\nThe Guided Wave (GW)-based Multiple Signal Classification (MUSIC) method for damage imaging in composite structures offers high-resolution and flexible sensor array placement, demonstrating considerable potential for precise damage localization. However, the application to real aircraft composite structures, characterized by complex structural features, presents substantial challenges. These include complex boundary reflections, pronounced anisotropy, and diminished scattered signals from damage sites. This paper presents a novel single-peak anisotropy-compensated MUSIC method for damage imaging of complex composites. This method, designed for improved localization accuracy, combines a self-excited calibration strategy to mitigate anisotropy with single wave peak focusing to amplify signals and reduce boundary reflections. Experimental validation on a complex composite wing structure demonstrated significant enhancements in localization precision, affirming the method's efficacy.\n<\/jats:p>","DOI":"10.58286\/29724","type":"journal-article","created":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T15:09:53Z","timestamp":1719673793000},"source":"Crossref","is-referenced-by-count":0,"title":["GW-MUSIC focusing algorithm with high accuracy for composite damage diagnosis"],"prefix":"10.58286","volume":"29","author":[{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"first","affiliation":[]},{"given":"Fei","family":"Zheng","sequence":"first","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Shenfang","family":"Yuan","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Qiu","sequence":"additional","affiliation":[]},{"name":"Nanjing University of Aeronautics and Astronautics  (NUAA)","sequence":"additional","affiliation":[]},{"given":"Yuanqiang","family":"Ren","sequence":"additional","affiliation":[]}],"member":"37050","published-online":{"date-parts":[[2024,7]]},"container-title":["e-Journal of Nondestructive Testing"],"deposited":{"date-parts":[[2024,6,29]],"date-time":"2024-06-29T15:14:20Z","timestamp":1719674060000},"score":26.962347,"resource":{"primary":{"URL":"https:\/\/www.ndt.net\/search\/docs.php3?id=29724"}},"issued":{"date-parts":[[2024,7]]},"references-count":0,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2024,7]]}},"URL":"https:\/\/doi.org\/10.58286\/29724","ISSN":["1435-4934"],"issn-type":[{"type":"electronic","value":"1435-4934"}],"published":{"date-parts":[[2024,7]]}}],"items-per-page":20,"query":{"start-index":0,"search-terms":"Motor+vehicles.+Aeronautics.+Astronautics"}}}