The fault diagnosis of rotating electrical machines has received an intense amount of
research interest during the last 30 years. Reducing maintenance costs and preventing …

This review paper looks briefly at conventional approaches and examines the intelligent
means for fault diagnosis (FD) and condition monitoring (CM) of electrical drives in detail …

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 presence of electrical and mechanical faults in the induction motors (IMs) can be
detected by analysis of the stator current spectrum. However, when an IM is fed by a …

Preventing induction motors (IMs) from failure and shutdown is important to maintain
functionality of many critical loads in industry and commerce. This paper provides a …

Cost-effective wind turbine (WT) condition monitoring assumes more importance as turbine
sizes increase and they are placed in more remote locations, for example, offshore …

In this paper, the idea of using a convolutional neural network (CNN) for the detection and
classification of induction motor stator winding faults is presented. The diagnosis inference …

The most often used motor in commercial drives is the induction motor. While the induction
motor is operating, electrical, thermal, mechanical, magnetic, and environmental stresses …

Transient-based fault diagnosis in induction motors has gained increasing attention over the
recent years. This is due to its ability to avoid eventual wrong diagnostics of the conventional …

This paper presents the results of our study of the permanent-magnet synchronous motor
(PMSM) running under demagnetization. We examined the effect of demagnetization on the …