Reliability Analysis Optimization Method Based On Bayesian Networks And PSO Algorithm And Its Application

To solve shortage of Bayesian networks’difficulty to construct in reliability analysis,combining with traditional fault tree and T-S fuzzy fault tree, the reliability analysismethod of Bayesian networks built through traditional fault is studied and improved, thereliability analysis method of Bayesian networks built through T-S fuzzy fault tree ispresented, and the PSO(Particle Swarm Optimization)/μPSO algorithm is brought into, thereliability optimization method based on Bayesian networks and PSO algorithm ispresented. Then the presented methods sre applied to the coalmine roadway separatetransporter hydraulic system, and provides the theoretical basis to improve its reliability.Firstly, the inference mechanism and modelling features of the Bayesian networks areresearched systematically, and the construction method of Bayesian networks based ontraditional fault tree is given. The method based on Bayesian inference could not onlycalculates out the probability of top event and the importance of the basic events, but alsoobtains posterior probability of the basic events at the same time. And the posteriorprobability and fault analysis cost are considered as the fault attributes, multi-attributefault analysis method combined Bayesian networks and TOPSIS(Technique for OrderPreference by Similarity to an Ideal Solution) is presented.Secondly, to solve disadvantages of unidirectional reasoning and computationalcomplexity of T-S fuzzy fault tree analysis, the reliability analysis method based on T-Sfuzzy fault tree and Bayesian networks is presented. Comparative analysis betweenreliability analysis method based on traditional fault tree and reliability analysis methodbased on T-S fuzzy fault tree is completed. On this basis, multi-attribute fault analysismethod based on Bayesian networks and grey relation analysis is presented.Thirdly, the reliability optimization method based on Bayesian networks and PSOalgorithm is presented. This method is based on Bayesian networks reliability analysis,and constructs a function that the basic event fault probability as input and the top eventfault probability as output, then set up two reliability optimization models combining with the cost and other resources condition. According to the reliability optimization model,optimize the reliability of the system by PSO algorithm andμPSO algorithm. This methodwidened the application range of the Bayesian networks reliability analysis method.Finally, according to the presented method, the reliability analysis of coalmineroadway separate transporter’s hydraulic system is completed, and two reliabilityoptimization design scheme is completed.