Fault detection technique for identifying broken rotor bars by artificial neural network method

This paper presents multiple fault detection technique for identifying the broken rotor bar condition based on the motor current signature method together with the artificial neural network. The artificial neural network has emerged potentially for detecting the fault signal of the electrical machine because it is capable of recognizing patterns. Consequently, the proposed technique is a successful tool to detect current fault of broken rotor bar problem in induction motor.