Signal processing is considered as an efficient technique to detect the faults in threephase
induction motors. Detection of different varieties of faults in the rotor of the motor are widely …

Stator inter-turn fault diagnosis system for electric motors is of a considerable concern due to
its significant effect on industrial production. In this paper, a new method for detecting the …

The development of an intelligent fault diagnosis system to identify automatically and
accurately micro-faults affecting motors continues to be a challenge for industrial rotary …

As a result of increasing machines capabilities in modern manufacturing, machines run
continuously for hours. Therefore, early fault detection is required to reduce the maintenance …

This paper presents a novel stator inter-turn fault diagnosis method for Line Start Permanent
Magnet Synchronous Motors (LSPMSMs) using the frequency analysis of acoustic signals …

With the advancement of intelligent manufacturing, different kinds of industrial robots have
been applied in modern factories. The liquid crystal display transfer robot (LCDTR) has been …

The importance of early fault detection in electric motors has attracted the attention of
research groups, as the detection of incipient faults can prevent damage spreading and …

Bearings are critical components in rotating machinery. The need for easy and effective
bearings fault diagnosis techniques has led to developing different monitoring approaches …

Introduction. In various industrial processes, squirrel cage induction motors are widely
employed. These motors can be used in harsh situations, such as non-ventilated spaces …

Rotating electrical machines (generators and motors) are the basic elements of modern
electrical power systems. Their control, maintenance and diagnostics are an urgent task …