TY - GEN
T1 - Reliability evaluation for an electronic system subject to competing risks of dependent soft and hard failures
AU - Zhao, Shuai
AU - Makis, Viliam
AU - Chen, Shaowei
AU - Li, Yong
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/1/16
Y1 - 2017/1/16
N2 - Reliability evaluation plays an essential role in prognostics and health management for electronic systems. This paper proposes a new method for reliability evaluation of a degrading electronic system subject to competing risks of dependent soft and hard failures. The soft failure is described by a nonstationary Gamma process exceeding the predefined critical level. In the previous works the failure modes were considered to be independent, while in this paper the dependent relationship is facilitated using the Cox's proportional hazard model that incorporates the degradation process as a time-varying covariate. To make the evaluation feasible, an approximation technique is applied in both degradation path and time axis, thereby all the reliability quantities can be derived and calculated with basic manipulations of the transition probability matrix. Finally, the performance and effectiveness of the proposed method are illustrated and analyzed in a numerical study.
AB - Reliability evaluation plays an essential role in prognostics and health management for electronic systems. This paper proposes a new method for reliability evaluation of a degrading electronic system subject to competing risks of dependent soft and hard failures. The soft failure is described by a nonstationary Gamma process exceeding the predefined critical level. In the previous works the failure modes were considered to be independent, while in this paper the dependent relationship is facilitated using the Cox's proportional hazard model that incorporates the degradation process as a time-varying covariate. To make the evaluation feasible, an approximation technique is applied in both degradation path and time axis, thereby all the reliability quantities can be derived and calculated with basic manipulations of the transition probability matrix. Finally, the performance and effectiveness of the proposed method are illustrated and analyzed in a numerical study.
KW - Competing risks
KW - Non-stationary gamma process
KW - Prognostics and health management
KW - Proportional hazards model
KW - Reliability assessment
KW - Remaining useful life prediction
UR - https://www.scopus.com/pages/publications/85015696485
U2 - 10.1109/PHM.2016.7819897
DO - 10.1109/PHM.2016.7819897
M3 - 会议稿件
AN - SCOPUS:85015696485
T3 - Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
BT - Proceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
A2 - Miao, Qiang
A2 - Li, Zhaojun
A2 - Zuo, Ming J.
A2 - Xing, Liudong
A2 - Tian, Zhigang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
Y2 - 19 October 2016 through 21 October 2016
ER -