Paper Info
Title
Condition-based maintenance with dynamic thresholds for a system using the proportional hazards model
Abstract
The hazard rate of many practical systems depends not only on age but also on a diagnostic covariate process. Effective maintenance decisions for such systems need to combine both age information and the covariate information obtained from condition monitoring. This paper proposes a condition-based maintenance (CBM) policy with dynamic thresholds and multiple maintenance actions for such a system subject to periodic inspection. The hazard rate is described by the proportional hazards model with a continuous-state covariate process. At each inspection epoch, appropriate action is selected from no maintenance, imperfect maintenance, and preventive replacement based on two dynamic thresholds. Over an inspection interval, the system may experience minor failure or catastrophic failure that can be addressed by minimal repair and corrective replacement, respectively. The objective is to determine the optimal thresholds that minimize the long-run average cost rate. A modified policy-iteration algorithm is developed to solve the optimization problem in the semi-Markov decision process (SMDP) framework. The effectiveness of the proposed approach is illustrated by a practical numerical example. The comparison with the other CBM policies confirms the outstanding performance of the proposed policy.
Year
DOI
Venue
2020
10.1016/j.ress.2020.107123
RELIABILITY ENGINEERING & SYSTEM SAFETY
Keywords
DocType
Volume
Condition-based maintenance,Dynamic thresholds,Multiple maintenance actions,Proportional hazards model,Policy-iteration algorithm
Journal
204
ISSN
Citations 
PageRank 
0951-8320
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Rui Zheng110616.04
Bingkun Chen200.34
Liudong Gu311.64