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

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.

Authors

Institutions

Publication Details

Journal
Energies
Published
2024-10-31
DOI
https://doi.org/10.3390/en17215440
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

M. Zigliotto, Marco Pastura
Energies
Machine Fault Diagnosis Techniques
article

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

M. Zigliotto, Marco Pastura
article en

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.

EnergiesVol. 17(21)
University of Padua (IT)
European Commission
Industry, innovation and infrastructure
Openalex Percentile: Top 78%
Machine Fault Diagnosis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Fault Diagnosis in Electrical Machines for Traction Applications: Current Trends and Challenges — M. Zigliotto, Marco Pastura · Energies (2024) | TGRS Research Map | TGRS