Indian Journal of Science and Technology

Abstract

Background: Fault detection is essential problem in machinery. The different type faults can occur in induction machine due to stator short circuits and rotor failures.Direct Torque Control(DTC)is a well known control design for induction motor drive in high power applications. Methods: Generally, the classification of faults is done by Principal Component Analysis (PCA) and Support Vector Machine (SVM) techniques. In this paper Discrete Wavelet Decomposition (DWD) technique is used to categorize the stator and rotor faults ofDTC induction machine.Using theDTC Simulink model a variety of faults are generated and tested. Finding: By usingwavelet decomposition,the information on the health and fault of a system can be extracted from signal over wide a range of frequencies. The extracted features are used to classify the healthy machine from faulty machine. Application: This method can be applicable in windmill, lathe and drilling machines to increase the efficiency
Keywords: Classification, DTC Induction Machine, Fault, Motor Current and Torque Analysis, Wavelet Decomposition