TY - GEN
T1 - Reliability Assessment Methodology of Power Devices Based on Physics of Failure and Multivariate Copulas
AU - Guo, Wendi
AU - Fu, Guicui
AU - Wan, Bo
AU - Su, Yutai
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - The reliability assessment of power devices based on Physics of Failure (PoF) involves factors such as performance, structural materials, and operating conditions. However, PoF methods are mainly used for the specific failure mechanisms (FMs) of the device. Now a fusion multiple FMs reliability assessment is needed. This paper proposes a reliability assessment methodology considering the failure correlation of different structures of power devices based on multivariate copulas. We illustrate the assessment process by taking a FS discrete device as a case. Firstly, the FMs and PoF models of power devices are studied. The parameter values in PoF models are determined; The unknown parameters are obtained by finite element analysis (FEA). Secondly, the multivariate copulas are used to derive the reliability function with multi-FMs, and the unknown parameters in copulas are estimated. Finally, comparing the Monte Carlo-Competition (MCC) method, the results show that the proposed method can consider the cross¬influence factors between PoF models, and the correlation of different structural lifetime distributions is not negligible. Moreover, the computational efficiency is also improved.
AB - The reliability assessment of power devices based on Physics of Failure (PoF) involves factors such as performance, structural materials, and operating conditions. However, PoF methods are mainly used for the specific failure mechanisms (FMs) of the device. Now a fusion multiple FMs reliability assessment is needed. This paper proposes a reliability assessment methodology considering the failure correlation of different structures of power devices based on multivariate copulas. We illustrate the assessment process by taking a FS discrete device as a case. Firstly, the FMs and PoF models of power devices are studied. The parameter values in PoF models are determined; The unknown parameters are obtained by finite element analysis (FEA). Secondly, the multivariate copulas are used to derive the reliability function with multi-FMs, and the unknown parameters in copulas are estimated. Finally, comparing the Monte Carlo-Competition (MCC) method, the results show that the proposed method can consider the cross¬influence factors between PoF models, and the correlation of different structural lifetime distributions is not negligible. Moreover, the computational efficiency is also improved.
KW - multivariate copulas
KW - Physics of Failure
KW - power devices
KW - reliability assessment
UR - http://www.scopus.com/inward/record.url?scp=85078048517&partnerID=8YFLogxK
U2 - 10.1109/PHM-Qingdao46334.2019.8942887
DO - 10.1109/PHM-Qingdao46334.2019.8942887
M3 - 会议稿件
AN - SCOPUS:85078048517
T3 - 2019 Prognostics and System Health Management Conference, PHM-Qingdao 2019
BT - 2019 Prognostics and System Health Management Conference, PHAI-Qingdao 2019
A2 - Guo, Wei
A2 - Li, Steven
A2 - Miao, Qiang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th Prognostics and System Health Management Conference, PHM-Qingdao 2019
Y2 - 25 October 2019 through 27 October 2019
ER -