The chapter deals with general description of an induction motor followed by different faults.
First, construction of induction motor has been discussed. Then a review of induction motor …

The information extraction capability of two widely used signal processing tools, Hilbert
Transform (HT) and Wavelet Transform (WT), is investigated to develop a multi-class fault …

Thermographic analysis has been considered a technique that can be used in fault
diagnosis with the advantage of being non-invasive and having a wide range of analysis …

This paper present the stator inter-turn short circuit fault detection in induction machine from
stator current analysis using two techniques, such as the fast Fourier transform (FFT), which …

In this paper the theoretical aspects and feature extraction capabilities of continuous wavelet
transform (CWT) and discrete wavelet transform (DWT) are experimentally verified from the …

The paper proposes a Rough-Set CWT based algorithm for multi-class fault diagnosis of
induction motor. Use of powerful signal processing technique like CWT drastically reduces …

This chapter deals with general discussion and research scope on induction motor fault
diagnosis. Fault considered in the book and analytical tools used for motor fault diagnosis …

This paper presents demonstration on the application of artificial intelligence techniques to
the study of machine vibration signatures. First, a Self-Organizing Map (SOM) is used to …

Les machines asynchrones sont omniprésentes dans les systèmes de production
automatisé à cause de leur robustesse et leur facilitée de mise en oeuvre. Néanmoins, ces …

In today's world Induction Motor (IM) has become an essential prime mover. The faults of the
IM may result in catastrophic effects on the production and performance of the system. To …