Uninterrupted and trouble-free operation of induction motors (IMs) is the compulsion of the
modern industries. Firstly, the paper reviews the conventional time and spectrum signal …

This review paper is to give a full picture of fault detection and diagnosis (FDD) in complex
systems from the perspective of data processing. As a matter of fact, an FDD system is a data …

In this paper, a practical machine learning-based fault diagnosis method is proposed for
induction motors using experimental data. Various single-and multi-electrical and/or …

The need to manufacture more competitive equipment, together with the emergence of the
digital technologies from the so-called Industry 4.0, have changed many paradigms of the …

Medium-voltage (MV) induction motors are widely used in the industry and are essential to
industrial processes. The breakdown of these MV motors not only leads to high repair …

This paper investigates diagnostic techniques for electrical machines with special reference
to induction machines and to papers published in the last ten years. A comprehensive list of …

Online fault diagnosis plays a crucial role in providing the required fault tolerance to drive
systems used in safety-critical applications. Short-circuit faults are among the common faults …

The improved computation presented in this paper is aimed to optimize the neural networks
learning process using Levenberg-Marquardt (LM) algorithm. Quasi-Hessian matrix and …

A breakdown of the electrical insulation system causes catastrophic failure of the electrical
machine and brings large process downtime losses. To determine the conditions of the …

This paper deals with fault diagnosis of induction machines based on the discrete wavelet
transform. By using the wavelet decomposition, the information on the health of a system can …