Application of the Transformer Fault Diagnosis Expert System based on Improved Bayesian Rule

An application research work had improved a Bayesian network rule function of Pro/3 (a production system type expert system shell). This improvement makes it possible for the same rules to ask the same evidence such as the evaluated probability or the certainty factor only once, which can avoid repetitive ask, adding simplicity and improving performance of Pro/3 system. By using it, this work had also created a transformer component fault diagnosis knowledge base model based on the Bayesian network rule so that using the model had implemented an expert system prototype system. The basic application shows the effectiveness of the improvement and the prototype system.