@article{k._t._huynh_use_2014,
	title = {On the {Use} of {Mean} {Residual} {Life} as a {Condition} {Index} for {Condition}-{Based} {Maintenance} {Decision}-{Making}},
	volume = {44},
	issn = {2168-2216},
	doi = {10.1109/TSMC.2013.2290772},
	abstract = {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.},
	number = {7},
	journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},
	author = {{K. T. Huynh} and {I. T. Castro} and {A. Barros} and {C. Bérenguer}},
	month = jul,
	year = {2014},
	keywords = {Analytical models, Biological system modeling, Condition index, Decision making, Degradation, Electric shock, Indexes, Maintenance engineering, condition index, condition-based maintenance (CBM), condition-based maintenance decision-making, decision making, degradation level, degradation-threshold-dependent-shock (DTDS) model, degradation-threshold-dependent-shock model, failure analysis, failure modes, maintenance cost model, maintenance decision-making, mean residual life function, preventive maintenance, preventive maintenance decision, remaining life assessment, stochastic process, system monotonicity},
	pages = {877--893}
}

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