Using Bayesian Network for Fault Diagnosis on High Voltage Power Transmission Lines

Fast and correct fault diagnosis is too important for power systems restoration. Recently, much research endeavors have been done for fault section diagnosis of power systems by using several techniques, such as logic-based expert system, rulebased expert system, fuzzy relation based expert system, artificial neural network, optimization techniques based approach, etc. They diagnose the fault from different ways. However, each approach has its limitations. In this paper, a Bayesian approach is proposed using a simulation technique, the Markov chain Monte Carlo (MCMC), to predict the fault in a typical power transmission line.