Rotor Broken Bar Fault Detection of Induction Motor by Advanced MCSA Technique

Abstract

In industrial power plants, the squirrel cage induction motors consumes around 85% applications. Since, the induction motors are critical components in most of the industries and early detection of rotor broken bar motor fault is a major focus of investigation in the last decade. If broken rotor bar fault occur and not diagnosed in the transient condition then it increases much power consumption and also additional damages in the machinery. Though, diagnosis of broken rotor bars in the transient condition is not efficiently achieved by conventional techniques. Therefore, health monitoring of rotor broken bar fault in the transient condition is a challenging task for researchers. In this paper, an attempt is made to solve above problem and diagnosed broken rotor bar fault in the early stage by advanced MCSA technique. This advanced technique distinguished healthy and among broken rotor bar faulty conditions of the motor efficiently. Therefore, by using this technique, we can save a plant from unexpected shutdown and also saves large revenues for industries.

Keywords

• Motor Current Signature Analysis (MCSA)
• health monitoring
• induction motor
• fault diagnosis
• broken bar
• time domain analysis
• discrete wavelet transform