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 …

In this study, the convolutional neural network (CNN) architecture of deep learning was used
to diagnose a demagnetization fault that occurred in permanent magnet synchronous motors …

In this paper, the combined eccentricity includes the mass eccentricity, static radial
eccentricity and angular eccentricity in the rotor of a permanent magnet synchronous motor …

Magnetic‐equivalent‐circuit model for surface mounted permanent‐magnet synchronous
machines inboth healthy and faulty cases is presented in this study, where both …

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 …

The applications of the permanent magnet synchronous motor (PMSM) are the most seen in
the elevator industry due to their high efficiency, low losses and the potential for high energy …

In this study, a new method was presented for the detection of a static eccentricity fault in a
closed loop operating induction motor driven by inverter. Contrary to the motors supplied by …

This paper presents the implementation of broken rotor bar fault detection in an inverter-fed
induction motor using motor current signal analysis (MCSA) and prognosis with fuzzy logic …

Fault diagnosis techniques applied to synchronous motors such as Permanent Magnet
Synchronous Machines (PMSMs) and Synchronous Reluctance Machines (SynRMs) are …

This paper focuses on detecting the static eccentricity and bearing faults of a permanent
magnet synchronous motor (PMSM) using probability distributions based on equal width …