{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T20:54:17Z","timestamp":1769720057745,"version":"3.49.0"},"reference-count":30,"publisher":"SAGE Publications","issue":"5","license":[{"start":{"date-parts":[[2023,11,4]],"date-time":"2023-11-04T00:00:00Z","timestamp":1699056000000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2023,11,4]]},"abstract":"<jats:p>The lack of effective failure correlation analysis is one main reason for the gap between the reliability models and the actual complex systems with mixed static and dynamic characteristics. Takagi and Sugeno (T-S) dynamic fault tree is one powerful tool to analyze the static and dynamic failure logic relationship but it assumes the failure probability of the event is independent. Therefore, this paper proposes a multi-dimensional T-S dynamic fault tree analysis method involving failure correlation. The method integrates the failure probability distribution function of basic events with multi-factors and the multi-dimensional copula function, and the important measure of this method is also deduced. The reliability model expression for systems with failure correlations, both in series and in parallel, is discussed and verified. Compare the proposed method with the assumption that the probability of a failure event is independent. This method solves the problem of a large error when ignoring the failure correlation between parts and the degree of the correlation between variables can be characterized. The reliability analysis can be conducted on complex systems affected both by multi-factors and failure correlations. The proposed method is applied to the reliability analysis of a hydraulic height adjustment system and the correctness and superiority of the method are verified.<\/jats:p>","DOI":"10.3233\/jifs-231939","type":"journal-article","created":{"date-parts":[[2023,9,1]],"date-time":"2023-09-01T11:21:30Z","timestamp":1693567290000},"page":"8279-8296","source":"Crossref","is-referenced-by-count":1,"title":["Multi-dimensional T-S dynamic fault tree analysis method involving failure correlation"],"prefix":"10.1177","volume":"45","author":[{"given":"Dongning","family":"Chen","sequence":"first","affiliation":[{"name":"Key Laboratory of Heavy Machinery Fluid Power Transmission and Control of Hebei Province, Yanshan University, Qinhuangdao, China"}]},{"given":"Jitao","family":"Liu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Heavy Machinery Fluid Power Transmission and Control of Hebei Province, Yanshan University, Qinhuangdao, China"}]},{"given":"Chengyu","family":"Yao","sequence":"additional","affiliation":[{"name":"Key Laboratory of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao, China"}]},{"given":"Lei","family":"Ma","sequence":"additional","affiliation":[{"name":"Key Laboratory of Heavy Machinery Fluid Power Transmission and Control of Hebei Province, Yanshan University, Qinhuangdao, China"}]},{"given":"Kuantong","family":"Wang","sequence":"additional","affiliation":[{"name":"Automotive Research Institute, China National Heavy Duty Truck (Group Corp.), Jinan, China"}]},{"given":"Ziyu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Key Laboratory of Heavy Machinery Fluid Power Transmission and Control of Hebei Province, Yanshan University, Qinhuangdao, China"}]},{"given":"Xuefei","family":"Wu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Heavy Machinery Fluid Power Transmission and Control of Hebei Province, Yanshan University, Qinhuangdao, China"}]},{"given":"Yanan","family":"Chen","sequence":"additional","affiliation":[{"name":"Qinglong County Power Supply Branch, State Grid Jibei Electric Power Co., Ltd., Qinhuangdao, China"}]}],"member":"179","reference":[{"key":"10.3233\/JIFS-231939_ref1","doi-asserted-by":"crossref","first-page":"108277","DOI":"10.1016\/j.ress.2021.108277","article-title":"Redundancy strategies assessment and optimization of k-out-of-n systems based on Markov chains and genetic algorithms","volume":"221","author":"Peiravi","year":"2022","journal-title":"Reliability Engineering & System Safety"},{"key":"10.3233\/JIFS-231939_ref2","first-page":"1","article-title":"Dynamic failure analysis of ship energy systems using an adaptive machine learning formalism","author":"Chuku","year":"2022","journal-title":"Journal of Computational and Cognitive 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