This article was published online on [17 December 2012]. Errors were subsequently identified. This notice is included in the online and print versions to indicate that both have been corrected [01 February 2013].
Failure Rate Estimation from Field Data under Time-Varying Stress†
Article first published online: 17 DEC 2012
Copyright © 2012 John Wiley & Sons, Ltd.
Quality and Reliability Engineering International
Volume 30, Issue 1, pages 111–119, February 2014
How to Cite
Guérineau, L. and Gouno, E. (2014), Failure Rate Estimation from Field Data under Time-Varying Stress. Qual. Reliab. Engng. Int., 30: 111–119. doi: 10.1002/qre.1481
- Issue published online: 27 JAN 2014
- Article first published online: 17 DEC 2012
- Manuscript Accepted: 16 OCT 2012
- Manuscript Revised: 29 AUG 2012
- Manuscript Received: 7 APR 2012
- piecewise failure rate;
- proportional hazard model;
- acceleration factors;
- maximum likelihood;
- Peck–Arrhenius model
A model to assess the failure rate of equipment under use conditions is proposed. This model links noncontrolled variables to a piecewise failure rate combined with a proportional hazard model. Two influential variables are considered. One is the temperature characterizing the outdoor climate, and the other one is moisture—as an intrinsic variable. The maximum likelihood estimates of the model parameters are obtained. The efficiency of the method is evaluated through simulated data. Results on data from the field are provided. Copyright © 2012 John Wiley & Sons, Ltd.