Fault Diagnosis of Induction Motor Based on Artificial Immune System

Based on principles of artificial immune systems, this paper put forward a fault diagnosis method for induction motor. Compared to the traditional negative selection algorithm, this method is added dynamic detector radius variation and immune memory cells, and improved the fault diagnosis detection rate for induction motor. Through simulation and testing, the validity of this method is proved.