1168

Abstract—This paper presents a Bayesian network reasoning method for fault diagnosis of high-speed railway single power distribution station. In this method, the fault model of Bayesian network is established according to the causality of fault element, protection and circuit breaker, using the alarm information received by the high-speed railway distribution SCADA system, the fault element and fault action protection or circuit breaker can be inferred and diagnosed on the model. This paper obtains the actual electrical wiring and circuit breaker protection configuration of a high-speed railway distribution station through investigation, Bayesian network modeling and reasoning were carried out on GeNle software platform, The feasibility and correctness of the method are verified.