Incipient fault detection and diagnosis of induction motor using fuzzy logic

Induction motors are critical components in many industrial processes. Online monitoring of induction motors is becoming increasingly important. The main aim of this paper is to perform the electrical fault analysis of a three phase induction motor using simulation in MATLAB SIMULINK and to design a fuzzy logic algorithm for detecting and analyzing the electrical fault of the motor. Several types of electrical faults such as under voltage fault, unbalance fault, overload fault and earth faults are experienced in three phase induction motor. This paper presents a systematic approach to detect and analyze the electrical faults of an induction motor. The work is explained in three phases. The first phase explains the causes and after effects of different types of electrical faults in an induction motor. The mathematical model and simulation of induction motor with different types of electrical faults are explained in second phase.The design and simulation of fuzzy logic algorithm for identification and analyzing electrical faults are discussed in third part. In this work, fuzzy logic is used to make decisions about the motor condition with high accuracy.