Background An induction motor is at the heart of every rotating machine and hence it is a
very vital component. Almost in every industry, around 90% of the machines apply an …

Induction motors are becoming crucial components in numerous industries. The daily usage
of induction motors creates the demand for proper maintenance and slight fault detection to …

Using deep learning in three-phase induction motor fault diagnosis has gained increasing
interest nowadays. This paper proposes a Convolutional Neural Network (CNN) model to …

The induction motor (IM) is considered to be one of the most important types of motors used
in industries. A sudden failure in this machine can lead to unwanted downtime, with …

Owing to the 4.0 industrial revolution condition monitoring maintenance is widely accepted
as a useful approach to avoiding plant disturbances and shutdown. Recently, Motor Current …

This paper presents a support vector machine classifier for broken bar detection in electrical
induction machine. It is a reliable online method, which has high robustness to load …

Many researchers have been attracted by the challenges of electrical machines fault
detection, diagnosis and monitoring, which provide early warning that could help schedule …

Both mechanical and electrical faults should be investigated carefully to get best operation
of the induction motor. In this paper, a description of the diagnosis of the induction motor …

Fault detection is an important issue for permanent magnet synchronous motors (PMSMs). In
the initial stage, it is very crucial to detect stator winding inter-turn short-circuit failure, which …

In this study, automatic detection of stator winding inter-turn short circuit fault (SWISCFs) in
surface-mounted permanent magnet synchronous motors (SPMSMs) and automatic …