{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T14:16:41Z","timestamp":1740147401871,"version":"3.37.3"},"reference-count":19,"publisher":"Wiley","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61773055","FRF-TP-16-029A3","FRF-BD-16-010A"],"award-info":[{"award-number":["61773055","FRF-TP-16-029A3","FRF-BD-16-010A"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities of China","doi-asserted-by":"crossref","award":["61773055","FRF-TP-16-029A3","FRF-BD-16-010A"],"award-info":[{"award-number":["61773055","FRF-TP-16-029A3","FRF-BD-16-010A"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Beijing Key Laboratory of Knowledge Engineering for Materials Science","award":["61773055","FRF-TP-16-029A3","FRF-BD-16-010A"],"award-info":[{"award-number":["61773055","FRF-TP-16-029A3","FRF-BD-16-010A"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Journal of Control Science and Engineering"],"published-print":{"date-parts":[[2018]]},"abstract":"<jats:p>A fault detection, isolation, and estimation approach is proposed in this paper based on Interactive Multimodel (IMM) fusion filtering and Strong Tracking Filtering (STF) for asynchronous multisensors dynamic systems. Time-varying fault is considered and a candidate fault model is built by augmenting the unknown fault amplitude directly into the system state for each kind of possible fault mode. By doing this, the dilemma of predetermining the fault extent as model design parameters in traditional IMM-based approaches is avoided. After that, the time-varying fault amplitude is estimated based on STF using its strong ability to track abrupt changes and robustness against model uncertainties. Through fusing information from multiple sensors, the performance of fault detection, isolation, and estimation is approved. Finally, a numerical simulation is performed to demonstrate the feasibility and effectiveness of the proposed method.<\/jats:p>","DOI":"10.1155\/2018\/5205698","type":"journal-article","created":{"date-parts":[[2018,1,2]],"date-time":"2018-01-02T23:35:37Z","timestamp":1514936137000},"page":"1-8","source":"Crossref","is-referenced-by-count":4,"title":["Time-Varying Fault Diagnosis for Asynchronous Multisensor Systems Based on Augmented IMM and Strong Tracking Filtering"],"prefix":"10.1155","volume":"2018","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3578-7598","authenticated-orcid":true,"given":"Yanyan","family":"Hu","sequence":"first","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"},{"name":"Beijing Key Laboratory of Knowledge Engineering for Materials Science, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5156-8590","authenticated-orcid":true,"given":"Xiaoling","family":"Xue","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9978-9384","authenticated-orcid":true,"given":"Zengwang","family":"Jin","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8314-3047","authenticated-orcid":true,"given":"Kaixiang","family":"Peng","sequence":"additional","affiliation":[{"name":"School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1002\/rnc.3742"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/1763934"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2009.2026285"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2017.2697210"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/9.1299"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1109\/7.722715"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2402112"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1109\/TAES.2008.4655354"},{"key":"11","first-page":"1184","volume-title":"Sensor Fault Detection, Isolation, and Identification Using Multiple-Model-Based Hybrid Kalman Filter for Gas Turbine Engines","volume":"24","year":"2016"},{"key":"14","doi-asserted-by":"publisher","DOI":"10.2514\/1.11363"},{"key":"15","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2012.2200817"},{"key":"16","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2016.06.005"},{"key":"17","first-page":"602","volume-title":"Novel Classifier Fusion Approaches for Fault Diagnosis in Automotive Systems","volume":"58","year":"2009"},{"key":"18","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2014.08.017"},{"key":"19","doi-asserted-by":"publisher","DOI":"10.1109\/taes.2013.6621819"},{"key":"20","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2010.2045496"},{"key":"21","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-015-1088-8"},{"key":"23","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2007.894148"},{"key":"24","doi-asserted-by":"publisher","DOI":"10.1049\/iet-smt.2014.0001"}],"container-title":["Journal of Control Science and Engineering"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/jcse\/2018\/5205698.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jcse\/2018\/5205698.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/jcse\/2018\/5205698.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,18]],"date-time":"2020-05-18T20:17:03Z","timestamp":1589833023000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.hindawi.com\/journals\/jcse\/2018\/5205698\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":19,"alternative-id":["5205698","5205698"],"URL":"https:\/\/doi.org\/10.1155\/2018\/5205698","relation":{},"ISSN":["1687-5249","1687-5257"],"issn-type":[{"type":"print","value":"1687-5249"},{"type":"electronic","value":"1687-5257"}],"subject":[],"published":{"date-parts":[[2018]]}}}