Fault Diagnosis in Electrical Machines for Traction Applications: Current Trends and Challenges
Year: 2024
Type: article
Abstract: 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.
Source: Energies
DOI: 10.3390/en17215440
Authors: Marco Pastura, Mauro Zigliotto
Institution: University of Padua
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,955
Funder: European Commission
Awards: G1175062043, G2649423451
OpenAlex ID: W4403940049
