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Reliability prediction for condition-based maintained systems
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DOI：10.1016/S0951-8320(00)00094-6.png)
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Abstract
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The paper presents a methodology based on relevant condition predictor (RCP) for reliability prediction for systems under condition-based maintenance. By considering the event of not being able to recognise the fault initiation or the critical state in RCP-based maintenance, the methodology uses Markov models for reliability prediction. The cases of single and multiple relevant condition predictors are presented along with a numerical procedure to obtain the reliability functions for RCP-based maintained systems. Numerical examples are used to illustrate the methodology and the values of reliability are obtained at discrete time points using the numerical algorithm. (C) 2001 Elsevier Science Ltd. All rights reserved.
Keywords:
relevant condition predictor
RCP-based maintenance
condition monitoring techniques
degradation
Markov process
numerical approximation
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