Research on Modeling Method for Equipment Maintenance Strategy Based on Reliability and Residual Life

Abstract

This paper deals with the research on method for the optimum equipment preventive maintenance strategy based on equipment reliability and equipment residual life in indirect condition monitoring. We use the Markov chain to express the equipment deterioration condition and propose the equipment reliability function; besides, study on the equipment condition probability distribution and establish the equipment residual life model by using the Bayes rule and the hidden Markov model, based on the above research background, we obtain the optimum maintenance decision criteria by analyzing the equipment maintenance strategy based on equipment reliability and equipment residual life in indirect monitoring. Finally, a case study is given to illustrate the implementation of the optimum maintenance decision criteria in indirect monitoring.