Rotor fault detection and diagnosis of three phase induction motor drive system

Inverter fed induction motors are widely preferred in industrial areas. Fault free operation of the machine is the key factor for the proper working of the induction motor drive system without degrading the performance. It demands careful analysis of different types of faults that can occur in the machine part. In this, broken rotor bar fault is the main one. The data obtained from analyzing the different broken bar conditions can be used for developing the fault detection algorithm. This is essential for the online monitoring of the system. Earlier the fault is detected, easier will be the repairing process. The aim of this paper is to design a fuzzy logic fault detection algorithm for detecting and analyzing the rotor faults in a three phase induction motor drive system.

I. Introduction

Three phase induction motor drive systems (IM drive systems) are the essential part in industries because of their numerous advantages like availability, cost effectiveness etc. Reliability is a great concern for any industry. Due to its continuous use, induction motors are subjected to various types of fault. Faults occurring on the drive part is the switching fault and faults occurring on the machine side is the machine fault. External moisture also affect the induction motor performance [1], [2]. Electrical fault and mechanical fault come under the category of machine faults. Unbalanced faults, under voltage fault, over load fault and earth faults are the different types of electrical faults. Mechanical faults include rotor winding failure, stator winding failure, bearing related faults. The chances of occurrence of different faults varies as stator fault(38%), rotor fault (10%), bearing related fault(40%), other faults(12%)[3].