Fault diagnosis system of induction motors based on neural network and genetic algorithm using stator current signals.

International Journal of Rotating Machinery | January 1, 2006| | Copyright

This paper proposes an online fault diagnosis system for induction motors through the combination of discrete wavelet transform (DWT), feature extraction, genetic algorithm (GA), and neural network (ANN) techniques. The wavelet transform improves the sign

1. INTRODUCTION

As the majority of the industry prime movers, induction motors play an important role in manufacture, transportation, and so forth, due to their reliability and simplicity of construction. Although induction motors are reliable, the possibility of faults is unavoidable. These failures may ...

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