Availability Modeling and Analysis of Equipment Based on Generalized Stochastic Petri Nets

To meet the challenge of dramatically market, manufacturing process requires the high production efficiency and the stability of the machining accuracy. Thus availability is the one of crucial measurements of complex equipments. This study addresses the problem of evaluating the performance of equipment which subject to both wear-out failures and random failures. Moreover, the different degradation states of the equipment are analyzed and then, the model of the states is established using generalized stochastic Petri nets and the analytical method for assessing the availability is also built up. Finally, the availabilities under different maintenance strategies are compared and the effectiveness and efficiency of the method is verified.