Flux‐based fault diagnosis methods have attracted ever‐increasing attention from technical
communities because of their potential diagnostic capabilities and ability to overcome …

With the development of smart factories, deep learning, which automatically extracts features
and diagnoses faults, has become an important approach for fault diagnosis. In this article, a …

Online detection of rotor and load faults in permanent magnet synchronous motors (PMSM)
based on spectrum analysis of current or vibration is not capable of identifying the root …

This article proposes an interturn short-circuit fault diagnosis method for permanent magnet
synchronous machines for electric vehicles based on search coils (SC) with a unique …

Demagnetization and eccentricity are unique and common rotor faults of permanent magnet
synchronous motors, respectively. These important factors affect reliability and security of …

Accurate and real-time capable mathematical models are an essential prerequisite for the
design of model-based controller and estimation strategies for electric motors. Magnetic …

These days, as the application of permanent magnet synchronous machines (PMSMs) and
drive systems becomes popular, the reliability issue of PMSMs gains more and more …

Performance analysis of Surface Mounted Permanent Magnet Synchronous Machine (SM-
PMSM) is investigated in this paper. The machine dynamic in both healthy and faulty cases …

Abstract System reliability and fault tolerance are very important features in safety-critical
applications with electric motors. An inter-turn winding short circuit is one of the most …

Interturn short circuit (ITSC) fault is a common fault in electric machines, which may severely
damage the machines if no protective measure is taken in time. There are numerous fault …