On the Use of Mean Residual Life as a Condition Index for Condition-Based Maintenance Decision-Making

• Published in: IEEE transactions on systems, man, and cybernetics. Systems Vol. 44; no. 7; pp. 877 - 893
• Main Authors: Khac Tuan Huynh, Torres Castro, Inmaculada, Barros, Anne, Berenguer, Christophe
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.07.2014; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Analytical models; Applied sciences; Biological system modeling; Condition index; condition-based maintenance (CBM); Decision making; Decision theory. Utility theory; Degradation; degradation-threshold-dependent-shock (DTDS) model; Electric shock; Exact sciences and technology; Indexes; Industrial metrology. Testing; Industrial plants; maintenance cost model; maintenance decision-making; Maintenance engineering; Maintenance management; mean residual life function; Mechanical engineering. Machine design; Operational research and scientific management; Operational research. Management science; Repair & maintenance; stochastic process; degradation-threshold-dependent-shock (DTDS) model; condition-based maintenance (CBM); maintenance decision-making; Condition index; stochastic process; mean residual life function; maintenance cost model; Decision support system; Mean residual life; Decision making; Maintenance cost; Maintenance; Stochastic process; Failures; Flexibility; Modeling; Preventive maintenance; Degradation; Optimal strategy; Equivalence; Dependence; Monitoring; Monotonicity
• ISSN: 2168-2216; 2168-2232
• DOI: 10.1109/TSMC.2013.2290772

This paper provides a methodology to analyze the efficiency of mean residual life in condition-based maintenance decision-making. A degradation-threshold-dependent-shock model is used to describe the evolution of a system subject to the dependent and competing failure modes due to degradation and shock. Based on this model, we compute the mean residual life of system and analyze its monotonicity. This property of mean residual life function allows introducing a new condition-based maintenance strategy whose preventive maintenance decision is based on the mean residual life. The proposed strategy is then compared to a maintenance strategy based on the degradation level only. Analyzing the equivalence, the performance and the flexibility of both strategies allow us to give some conclusions on the interest of the mean residual life as a condition index for maintenance decision-making.