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 …

The fault detection of electrical or mechanical anomalies in induction motors has been a
challenging problem for researchers over decades to ensure the safety and economic …

This paper proposes the use of a Hall effect sensor installed between two stator slots of a
squirrel cage induction motor, spectral analysis of the air gap disturbances and machine …

Industrial production processes are increasingly collecting data from machines in operation
due to the cost reduction and popularization of sensor technologies. Valuable information is …

Legacy machinery poses a specific challenge when integrated into modern manufacturing
lines. While modern machinery provides swift methods of integration and inbuilt predictive …

A considerable amount of papers has been published in recent years proposing supervised
classifiers to diagnose the health of a machine. The usual procedure with these classifiers is …

This paper presents the use of a fuzzy-based statistical feature extraction from the air gap
disturbances for diagnosing broken rotor bars in large induction motors fed by line or an …

The fault detection in an induction motor (IM) operated by a variable speed drive (VSD) is an
actual industrial need as most of the line-fed machines are replaced by a VSD, due to their …

This paper presents a novel neural network having variable weights, which is able to
improve its learning and generalisation capabilities, to deal with classification problems. The …

This paper presents a simplified automated fault detection scheme for wind turbine induction
generators with rotor electrical asymmetries. Fault indicators developed in previous works …