Abstract
This paper proposes a health evaluation method for degrading systems subject to competing risks of dependent soft and hard failures. To characterize the time-varying degradation rate, the degradation process is determined by a non-stationary Gamma process and the soft failure is encountered when it exceeds a predefined critical level. For the hard failure, a Cox's proportional hazard model is applied to describe the hazard rate of the time to system failure. The dependent relationship is modeled by incorporating the degradation process as a time-varying covariate into the Cox's proportional hazard model. To facilitate the health characteristics evaluation, a discretization technique is applied both to the degradation process and the monitoring time. All health characteristics can be obtained in the explicit form using the transition probability matrix, which is computationally attractive for practical applications. Finally, a numerical analysis is carried out to show the effectiveness and the performance of the proposed health evaluation method.
| Original language | English |
|---|---|
| Journal | Journal of Systems Engineering and Electronics |
| Volume | 29 |
| Issue number | 2 |
| Pages (from-to) | 436-444 |
| Number of pages | 9 |
| ISSN | 1671-1793 |
| DOIs | |
| Publication status | Published - Apr 2018 |
| Externally published | Yes |
Bibliographical note
Funding Information:Manuscript received January 18, 2017. *Corresponding author. This work was supported by the Aeronautical Science Foundation of China (20155553039) and the Natural Sciences and Engineering Research Council of Canada (RGPIN 121384-11).
Funding Information:
LI Yong was born in 1962. He received his B.E. de-gree in electronic engineering, M.E. degree in sig-nal and circuit system, and Ph.D. degree in circuit and system engineering from Northwestern Poly-technical University, Xi’an, China, in 1983, 1988, and 2005, respectively. He is currently a professor in the School of Electronics and Information at North-western Polytechnical University. He was a visiting scholar at the University of Texas at Arlington in 2009. His funding is from National Defense Advance Research, Aeronautical Science Foundation of China, Civil Aircraft Advance Research, etc. His research interests include the real-time signal measurement, high-speed signal processing, conditional monitoring, health assessment, and communication for electronic systems. E-mail: ruikel@nwpu.edu.cn
Publisher Copyright:
© 1990-2011 Beijing Institute of Aerospace Information.
Keywords
- competing risk
- conditional mean residual life
- health evaluation
- non-stationary Gamma process
- proportional hazards model