Multi-State Bayesian Network-Based Reliability Analysis of Hydraulic System

Targeting at multi-state and uncertain faults in daily using and maintaining a hydraulic system, in this paper a fault tree model is first constructed by using the fault tree analysis method and then transformed into a Bayesian network; then the calculation process of the Bayesian network is simplified by using the bucket exclusion method to get the top-event occurrence rate; and finally the bi-directional reasoning function of Bayesian network is employed to calculate the posterior probability of each component through backward reasoning when the top event fault occurs, and the weak links of the system are found out and rectifying measures are given, so in this way theoretical basis is provided for improving the reliability of the hydraulic system.