Fuzzy logic application to pre-fault diagnoses of induction motors

Induction machines, with power ranging from few kW to several MW, are the most used electric actuators in industry applications. Faults occurring in induction machines can negatively influence worker safety and production processes in terms of time delays and quality of the final product. Some anomalies can be detected early in order to predict fault conditions, so allowing optimizing servicing and machine stopping. The method proposed, based on artificial intelligence techniques, allows operating conditions analysis of induction motors. In particular, the fuzzy set theory is used to perform a spectrum analysis of the stator current in order to identify some types of incoming faults