{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T18:33:02Z","timestamp":1778178782224,"version":"3.51.4"},"reference-count":42,"publisher":"Wiley","issue":"6","license":[{"start":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T00:00:00Z","timestamp":1747094400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"},{"start":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T00:00:00Z","timestamp":1747094400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Quality &amp; Reliability Eng"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>Mission reliability evaluation of high\u2010performance unmanned aerial vehicle (UAV) swarms faces significant challenges because of their tightly coupled mission profiles, dynamic reconfiguration mechanisms, and heterogeneous node interactions. Traditional reliability models fail to capture these complexities, particularly the impact of mission reconstruction on the UAV swarm adaptability. To address this gap, we propose a novel mission reliability evaluation framework that integrates an effective mission loop analysis and dynamic network reconfiguration. First, we analyzed the system composition and interaction of high\u2010performance UAV swarms and designed a mission reliability evaluation model based on effective mission loops. Second, we developed a dynamic reconstruction algorithm to autonomously reconfigure the swarm topology in response to node\/edge failures, ensuring sustained operational capability. Third, by integrating the reliability evaluation model with the reconstruction algorithm, we built a high\u2010performance UAV swarm mission reliability evaluation method that explicitly incorporates mission reconstruction. A case study of a 10\u2010UAV swarm strike mission validated the proposed framework. The results demonstrate its effectiveness in mission reliability evaluation of high\u2010performance UAV swarms, with potential extensions to heterogeneous aviation systems.<\/jats:p>","DOI":"10.1002\/qre.3798","type":"journal-article","created":{"date-parts":[[2025,5,13]],"date-time":"2025-05-13T13:49:47Z","timestamp":1747144187000},"page":"2398-2415","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Mission Reliability Modeling and Evaluation for High\u2010Performance UAV Swarm With Mission Reconstruction"],"prefix":"10.1002","volume":"41","author":[{"given":"Feng","family":"Gong","sequence":"first","affiliation":[{"name":"School of Aeronautics and Astronautics University of Electronic Science and Technology of China  Chengdu China"},{"name":"AVIC Chengdu Aircraft Design &amp; Research Institute  Chengdu China"}]},{"given":"Gexi","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics University of Electronic Science and Technology of China  Chengdu China"},{"name":"Sichuan Key Laboratory of Intelligent Sensing and Cooperative Control for Aircraft Cluster  Chengdu China"}]},{"given":"Wentao","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics University of Electronic Science and Technology of China  Chengdu China"},{"name":"Sichuan Key Laboratory of Intelligent Sensing and Cooperative Control for Aircraft Cluster  Chengdu China"}]},{"given":"Chunbo","family":"Yang","sequence":"additional","affiliation":[{"name":"AVIC Chengdu Aircraft Design &amp; Research Institute  Chengdu China"}]},{"given":"Bo","family":"Li","sequence":"additional","affiliation":[{"name":"School of Aeronautics and Astronautics University of Electronic Science and Technology of China  Chengdu China"},{"name":"Sichuan Key Laboratory of Intelligent Sensing and Cooperative Control for Aircraft Cluster  Chengdu China"}]}],"member":"311","published-online":{"date-parts":[[2025,5,13]]},"reference":[{"key":"e_1_2_7_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cja.2020.02.009"},{"key":"e_1_2_7_3_1","doi-asserted-by":"crossref","unstructured":"X. N.Zhu \u201cAnalysis of Military Application of UAV Swarm Technology \u201d inProceedings of 2020 3rd International Conference on Unmanned Systems (ICUS)(IEEE 2020) 1200\u20131204.","DOI":"10.1109\/ICUS50048.2020.9274974"},{"key":"e_1_2_7_4_1","doi-asserted-by":"publisher","DOI":"10.1049\/cje.2019.12.006"},{"key":"e_1_2_7_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109239"},{"key":"e_1_2_7_6_1","unstructured":"G. N.MuchiriandS.Kimathi \u201cA Review of Applications and Potential Applications of UAV \u201d inProceedings of the Sustainable Research and Innovation Conference(2022) 280\u2013283."},{"key":"e_1_2_7_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/drones6060147"},{"key":"e_1_2_7_8_1","doi-asserted-by":"crossref","unstructured":"W.Liu Q.Sun L. C.Tang et\u00a0al. \u201cRobust Data\u2010Driven Design of a Smart Cardiac Arrest Response System \u201d Available at SSRN 4590433 (2022).","DOI":"10.2139\/ssrn.4590433"},{"key":"e_1_2_7_9_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781394226771.ch6"},{"key":"e_1_2_7_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781394226771.ch4"},{"key":"e_1_2_7_11_1","doi-asserted-by":"publisher","DOI":"10.1002\/qre.3432"},{"key":"e_1_2_7_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109921"},{"key":"e_1_2_7_13_1","article-title":"Imbalanced Multi\u2010Domain Generalization Method for Electro\u2010Mechanical Actuator Fault Diagnosis Under Variable Working Conditions","author":"Liu H.","year":"2025","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"e_1_2_7_14_1","doi-asserted-by":"publisher","DOI":"10.1080\/00207543.2018.1508906"},{"key":"e_1_2_7_15_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2013.03.002"},{"key":"e_1_2_7_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3218491"},{"key":"e_1_2_7_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2019.2912427"},{"key":"e_1_2_7_18_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2024.110401"},{"key":"e_1_2_7_19_1","doi-asserted-by":"publisher","DOI":"10.1080\/24725854.2022.2062627"},{"key":"e_1_2_7_20_1","volume-title":"Electronic Reliability Design Handbook","author":"U.S. Department of Defense","year":"1998"},{"key":"e_1_2_7_21_1","volume-title":"NASA Systems Engineering Handbook","author":"National Aeronautics and Space Administration","year":"2008"},{"key":"e_1_2_7_22_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-17323-3"},{"key":"e_1_2_7_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2024.3459649"},{"key":"e_1_2_7_24_1","doi-asserted-by":"crossref","unstructured":"Y.Huang X.Pan andL.Hu \u201cRapid Evaluation of System\u2010of\u2010Systems (SoS) Mission Reliability Based on Markov Chains. inProceedings of 2015 First International Conference on Reliability Systems Engineering (ICRSE) \u201d (IEEE 2015) 1\u20136.","DOI":"10.1109\/ICRSE.2015.7366452"},{"key":"e_1_2_7_25_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108478"},{"key":"e_1_2_7_26_1","volume-title":"Reliability Modeling and Optimization of Non\u2010Exponential Phased Mission System","author":"Li X. 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