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This article delves into the important role of degradation models and measurement methodologies in estimating equipment reliability and predicting its Remaining Useful Life Such predictions are important in alleviating costly unplanned maintenance while increasing machine reliability, availability and safety. If an equipment is subjected to a degradation process on which a critical threshold may be fixed, a degradation model may be fitted and used to predict the failure times. Thus, it is possible to track this degradation to retrieve the health state of the system from the set of degradation model points. This paper presents a stochastic degradation model and discusses the effects of a dispersion of degradation model parameters on the degradation. It presents a model based on retrieving reliability law from a degradation model and compare it with different models which lead to evaluating of this model.
