Multiple Fault Detection Technique for Identifying Broken Rotor Bars

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 as an assistant tool for detecting the fault signal of the electrical machine because it is capable of recognizing patterns. Consequently, the proposed multiple fault detection techniques perform acceptably for recognizing the broken rotor bar problem of the induction motor.