TY - GEN
T1 - Failure Threshold Analysis Based On Multiple Performance Degradation Reliability Assessment Methods
AU - Xie, Juanzhang
AU - Wan, Fangyi
AU - Han, Yajie
AU - Wang, Xue
AU - Jiang, Chengze
AU - Cui, Weimin
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The landing gear cabin door locking mechanism is a key component of the aircraft, and its reliability has a direct impact on the aircraft landing gear retraction function and stealth function. Most of the thresholds for the failure characteristics of the locking mechanism are set, and for multiple failure characteristics in the multivariate degradation model, the time when different thresholds take effect may exist before and after in the regression sense, and the failure thresholds based on the correlation of multiple performance characteristics should be synchronized in the regression sense to ensure the time when they take effect. The problem of inter-threshold synchronization has not been noticed by researchers and needs attention. In the article, based on the analysis of the influencing factors of the life of the locking mechanism, the locking angle of the lock hook and the offset of the locking displacement of the lock hook are selected as the performance degradation characteristic quantities; based on the case that the failure thresholds corresponding to the two failure characteristic quantities have been determined, the degradation model is established by Wiener process, so as to obtain the failure probability density function of both; the correlation of the two failure characteristic quantities and the synchronization of their threshold combinations are discussed, and the use of Copula function is used to establish a multi-performance degradation reliability assessment model, and the synchronization of failure thresholds is verified. It is proposed that there is a need to develop a method for determining the threshold combination reflecting the correlation of the characteristic quantities.
AB - The landing gear cabin door locking mechanism is a key component of the aircraft, and its reliability has a direct impact on the aircraft landing gear retraction function and stealth function. Most of the thresholds for the failure characteristics of the locking mechanism are set, and for multiple failure characteristics in the multivariate degradation model, the time when different thresholds take effect may exist before and after in the regression sense, and the failure thresholds based on the correlation of multiple performance characteristics should be synchronized in the regression sense to ensure the time when they take effect. The problem of inter-threshold synchronization has not been noticed by researchers and needs attention. In the article, based on the analysis of the influencing factors of the life of the locking mechanism, the locking angle of the lock hook and the offset of the locking displacement of the lock hook are selected as the performance degradation characteristic quantities; based on the case that the failure thresholds corresponding to the two failure characteristic quantities have been determined, the degradation model is established by Wiener process, so as to obtain the failure probability density function of both; the correlation of the two failure characteristic quantities and the synchronization of their threshold combinations are discussed, and the use of Copula function is used to establish a multi-performance degradation reliability assessment model, and the synchronization of failure thresholds is verified. It is proposed that there is a need to develop a method for determining the threshold combination reflecting the correlation of the characteristic quantities.
KW - Copula function
KW - Failure threshold
KW - Multi-performance degradation
KW - Reliability assessment
KW - Wiener process
UR - http://www.scopus.com/inward/record.url?scp=85143139511&partnerID=8YFLogxK
U2 - 10.1109/PHM-Yantai55411.2022.9941988
DO - 10.1109/PHM-Yantai55411.2022.9941988
M3 - 会议稿件
AN - SCOPUS:85143139511
T3 - 2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022
BT - 2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022
A2 - Guo, Wei
A2 - Li, Steven
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Global Reliability and Prognostics and Health Management Conference, PHM-Yantai 2022
Y2 - 13 October 2022 through 16 October 2022
ER -