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 …

Recently, research concerning electrical machines and drives condition monitoring and fault
diagnosis has experienced extraordinarily dynamic activity. The increasing importance of …

Bearing fault diagnosis is of significance to enhance the reliability and security of electric
locomotive. In this paper, a novel convolutional deep belief network (CDBN) is proposed for …

In recent years, the internet of things (IoT) represents the main core of Industry 4.0 for cyber-
physic systems (CPS) in order to improve the industrial environment. Accordingly, the …

The motor drive system plays a significant role in the safety of electric vehicles as a bridge
for power transmission. Meanwhile, to enhance the efficiency and stability of the drive …

Condition-based maintenance, which includes both diagnosis and prognosis of faults, is a
topic of growing interest for improving the reliability of electrical drives. Bearings constitute a …

Bearing fault diagnosis at early stage is very significant to ensure seamless operation of
induction motors in industrial environment. The identification and classification of faults …

Condition monitoring and fault diagnosis of induction motors serve as essential techniques
toward the reliable operation of critical industrial processes. The finite element method …

Early detection of faults in electrical machines, particularly in induction motors, has become
necessary and critical in reducing costs by avoiding unexpected and unnecessary …

Permanent magnet synchronous motors (PMSM) have been used in a lot of industrial fields.
In this paper, a review of faults and diagnosis methods of PMSM is presented. Firstly, the …