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Multi-zone proportional hazard model for a multi-stage degradation process<br />

MSEC2013-1113<br />

Lin Li, Ph.D., Zeyi Sun, University of Illinois at Chicago, Chicago, United States, Xinwei Xu, U of Michigan, Ann Arbor,<br />

MI, United States, Kaifu Zhang, Northwestern Polytechnical University, Xian, China<br />

Conditional-based maintenance (CBM) decision-making is of high interests in recent years due to its better<br />

performance on cost efficiency compared to other traditional policies. One of the most respected methods based<br />

on condition-monitoring data for maintenance decision-making is Proportional Hazards Model (PHM). It utilizes<br />

condition-monitoring data as covariates and identifies their effects on the lifetime of a component. Conventional<br />

modeling process of PHM only treats the degradation process as a whole lifecycle. In this paper, the PHM is<br />

advanced to describe a multi-zone degradation system considering the fact that the lifecycle of a machine can be<br />

divided into several different degradation stages. The methods to estimate reliability and performance prognostics<br />

are developed based on the proposed multi-zone PHM to predict the remaining time that the machine stays at<br />

the current stage before transferring into the next stage and the remaining useful life (RUL). The results illustrate<br />

that the multi-zone PHM effectively monitors the equipment status change and leads to a more accurate RUL<br />

prediction compared with traditional PHM.<br />

JUNE 10-14, 2013 // Madison, Wisconsin<br />

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