Fault diagnosis framework-based expert system of induction motor based on fuzzy theory

By using the fuzzy theory and the framework theory, a fault diagnosis expert system of the induction motor was set up. A framework-based store method of the fuzzy rules was put forward. This method simplifies the complexity of knowledge representation. By using the fuzzy comprehensive evaluation, the rule framework with the small membership of the fault conclusion is filtered out and the rule framework with large membership of the fault conclusion is labelled. A new method to make sure the occur-red fault was put for-ward. By using the fuzzy matching algorithm, this method matches the labelled framework with the rule framework. This method raises the speed of the inference of the expert system effectively. Finally, it is shown that. this method benefits to raise the real time and the accuracy of the fault diagnosis expert system by the instance analysis.