Fault Diagnosis in Electrical Machines for Traction Applications: Current Trends and Challenges

Marco Pastura; Mauro Zigliotto

doi:10.20944/preprints202410.0308.v1

Preprint Article Version 1 This version is not peer-reviewed

Version 1 : Received: 3 October 2024 / Approved: 4 October 2024 / Online: 4 October 2024 (08:16:18 CEST)

The widespread diffusion of electric vehicles poses new challenges in the field of fault diagnostics. Past studies have been focused mainly on machines designed for industrial applications, where the operating conditions and requirements are significantly different. This work presents a review of the most recent studies about fault diagnosis techniques in electrical machines feasible for traction applications, with a focus on the most adopted approaches of the last years and on the latest trends. Considerations about their applicability for electric vehicle purposes, along with some areas that require further research, are also provided.

Fault Detection; Review; Electric Vehicle; Traction Application; Condition Monitoring; Machine Learning; Permanent Magnet Machines; Induction Machines; Multi-Phase Machines

Engineering, Electrical and Electronic Engineering

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Fault Diagnosis in Electrical Machines for Traction Applications: Current Trends and Challenges

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