Fault detection in Induction motor using WPT and Multiple SVM

Abstract

In this paper a novel approach to detect various faults occurring in the induction motor is presented. Both vibration and motor current signature analysis are performed to detect the mechanical and electrical faults. Multi-scale decomposition process using wavelet packet transform is performed on the obtained signal to extract the features. The extracted features are given to a classifier to identify whether a fault has occurred. If a fault exists, it identifies the fault location and isolates it. The various faults discussed in this paper are: mechanical faults— such as bearing faults and electrical faults occurring in the rotor and stator parts of an induction motor. Multiple Support Vector Machine using the one-against-others approach is used to obtain multi-class classification of fault.