The issues of monitoring and fault diagnosis of drives with permanent magnet synchronous
motors (PMSMs) are currently very relevant because of the increasing use of these drives in …

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 …

Electric vehicle (EV) is crucial for future transportation which will improve fuel economy and
contributes toward the reduction of emissions. EVs are becoming an increasingly integrated …

In the last two decades, motor operation monitoring tools have become a necessity, and
many studies focus on the detection and diagnosis of motor electrical faults. However, at …

When an emergency happens to electric vehicles, the voltage of the dc-bus capacitor, which
is an important part of the permanent magnet synchronous machine (PMSM) drive system …

The conventional field weakening algorithm is more dependent on parameters and
computational complexity. Therefore, the concept of advanced angle β is introduced, and the …

Electric cars are massively displacing gasoline-powered vehicles and heralding themselves
as the top powertrain of preference, as vehicle transportation witnesses a significant …

This paper proposes a deep learning algorithm for motor fault detection. Based on the Long
Short-Term Memory (LSTM), one of the deep learning algorithm, catching the three-phase …

This paper deals with the topic of detecting and classifying one of the most common faults of
permanent magnet synchronous motor-interturn short circuits. The idea of using spectral …

In this paper, a vector controlled PMSM drive based on a proportional–resonance controller
(PR) under open circuit fault (OCF) is proposed. The PR controller is used to generate the …