Identification of Fault in Three Phase Induction Motor using ANFIS

Abstract

Induction motor face more stresses during operation which makes it essential to check and monitor the condition of the three phase induction motor inorder to improve the efficiency and to reduce the maintenance and operating cost. The main objective of this work is to detect the fault in three phase induction motor for both static and dynamic conditions using thermal images which shows the internal features of the machine even at running conditions. The features are extracted by feature extraction method and predominent features are extracted by Fisher discriminant ratio (FDR). A decision support system Adaptive Neuro-Fuzzy Inference System (ANFIS) is used to diagnose the fault as it involves the advantage of both the Fuzzy Logic (FL) and Artificial Neural Network (ANN).