PERFORMANCE MODELING AND ANALYSIS OF A COMPLEX REPAIRABLE INDUSTRIAL SYSTEM

High reliability and availability are the supreme importance of a complex electromechanical system. The imprecise, uncertain, and often inaccurate data collection, uncertainty, and ambiguity have been inevitably associated with a complex industrial system. The Markov approach has proven to be a unified tool to evaluate the reliability of a complex industrial system. In the present research, the author presented a structured and methodological technique to analyze the reliability and availability of various subsystems of coal crushing unit of a thermal power plant using the traditional Markov birth-death process and demonstrated it using a probabilistic approach. The approach consists of breaking up the coal crushing unit/system into various subsystems with three feasible states labeled in the transition diagram. Then using the Markov approach, a probabilistic stochastic model has been developed using Chapman-Kolmogorov equations. The results of the studies are of utmost importance for the plant management in order to take timely decisions for maintaining the system in the upstate for a long duration and take corrective maintenance action.