关键词: 动态可靠性, 广义随机Petri网, 赋时变迁, 故障, 蒙特卡罗仿真

Abstract:

The limitation of traditional reliability modeling methods was analyzed, the dynamic reliability modeling method based on general stochastic Petri net (GSPN) for complex system was proposed, the transitions were divided into instant transitions and timed transitions,the timed transitions were used to express the failure and maintenance process of elements.The inhibitor arc was used to express the changeover among failure states and restore states,a typical GSPN model of repairable system was established. Aiming to deal with the problem of non-exponential distribution and state explosion in complex repairable system, the Monte Carlo simulation was uesd to solve the GSPN model, by calculating the parameters such as the occurring times and sustained time of transitions and places, the dynamic reliability data of the elements and system are obtained. A hydraulic loop of digging machine was selected as an example, the feasibility of the method was validated.

Key words: dynamic reliability, general stochastic Petri net（GSPN）, timed transition, failure, Monte Carlo simulation