TY - GEN
T1 - On-line reliability assessment for an electronic system subject to condition monitoring
AU - Zhao, Shuai
AU - Makis, Viliam
AU - Chen, Shaowei
AU - Li, Yong
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/8/12
Y1 - 2016/8/12
N2 - We present a new approach for the on-line reliability assessment of an electronic system subject to condition monitoring. In this paper, the degradation of the electronic system is driven by a nonlinear Wiener process with a time drift, which is incorporated into the proportional hazards model to describe the hazard rate of the time to failure. Using the discretization of the degradation path and the time axis, closed-form approximations for the reliability quantities are obtained using the transition probability matrix. Unlike the conventional method which is applicable only for a small number of degradation states, the calculation of these quantities can be accomplished with just the basic manipulation of the transition matrix, which is computationally efficient and applicable to real-time conditional reliability calculation for a general number of states. The effectiveness of the proposed approach is demonstrated by a numerical study.
AB - We present a new approach for the on-line reliability assessment of an electronic system subject to condition monitoring. In this paper, the degradation of the electronic system is driven by a nonlinear Wiener process with a time drift, which is incorporated into the proportional hazards model to describe the hazard rate of the time to failure. Using the discretization of the degradation path and the time axis, closed-form approximations for the reliability quantities are obtained using the transition probability matrix. Unlike the conventional method which is applicable only for a small number of degradation states, the calculation of these quantities can be accomplished with just the basic manipulation of the transition matrix, which is computationally efficient and applicable to real-time conditional reliability calculation for a general number of states. The effectiveness of the proposed approach is demonstrated by a numerical study.
KW - Nonlinear Wiener process with a time drift
KW - online reliability assessment
KW - prognostics and health management
KW - proportional hazards model
KW - remaining useful life prediction
UR - http://www.scopus.com/inward/record.url?scp=84985992154&partnerID=8YFLogxK
U2 - 10.1109/ICPHM.2016.7542817
DO - 10.1109/ICPHM.2016.7542817
M3 - 会议稿件
AN - SCOPUS:84985992154
T3 - 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016
BT - 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 IEEE International Conference on Prognostics and Health Management, ICPHM 2016
Y2 - 20 June 2016 through 22 June 2016
ER -