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

被引:0
|
作者
Pastura, Marco [1 ]
Zigliotto, Mauro [1 ]
机构
[1] Department of Engineering and Management (DTG), University of Padua, Vicenza,I-36100, Italy
关键词
All Open Access; Gold;
D O I
10.3390/en17215440
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] Numerical approach for optimum electromagnetic parameters of electrical machines used in vehicle traction applications
    Fodorean, D.
    Giurgea, S.
    Djerdir, A.
    Miraoui, A.
    ENERGY CONVERSION AND MANAGEMENT, 2009, 50 (05) : 1288 - 1294
  • [32] A Topology Selection Consideration of Electrical Machines for Traction Applications: Towards the FreedomCar 2020 Targets
    Walker, Adam
    Galea, Michael
    Gerada, Chris
    Mebarki, Abdeslam
    Gerada, David
    2015 TENTH INTERNATIONAL CONFERENCE ON ECOLOGICAL VEHICLES AND RENEWABLE ENERGIES (EVER), 2015,
  • [33] Voltage and Current Sensor Fault Diagnosis Method for Traction Converter with Two Stator Current Sensors
    Tao, Hongwei
    Peng, Tao
    Yang, Chao
    Gao, Jinqiu
    Yang, Chunhua
    Gui, Weihua
    SENSORS, 2022, 22 (06)
  • [34] Current trends in adaptive user interfaces:: Challenges and applications
    Alvarez-Cortes, Victor
    Zayas-Perez, Benjamin E.
    Zarate-Silva, Victor Hugo
    Uresti, Jorge A. Ramirez
    CERMA 2007: ELECTRONICS, ROBOTICS AND AUTOMOTIVE MECHANICS CONFERENCE, PROCEEDINGS, 2007, : 312 - +
  • [35] A survey of the development of electrical traction machines in China
    Zhu Ling Xiangtan Electric Traction Equipment Research Institute
    Electricity, 1992, (04) : 6 - 9
  • [36] Multi Fault Diagnosis of Traction Motor Current Sensor Based on State Observer
    Liu Bo
    Peng Tao
    Shi Lu
    He Ze-Zhou
    Yang Chao
    PROCEEDINGS OF THE 28TH CHINESE CONTROL AND DECISION CONFERENCE (2016 CCDC), 2016, : 7058 - 7063
  • [37] Current Trends in In-vehicle Electrical Engineering Applications
    Gananchchelvi, Parameshwaran
    Yu, Jiao
    Pukish, Michael S.
    38TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY (IECON 2012), 2012, : 6268 - 6273
  • [38] Bearing Fault Diagnosis Based on Current Monitoring in Asynchronous Electrical Machines Using Simplified Higher-Order Statistics
    Djeddi, Mounir
    Benidir, Messaoud
    Djeddi, Mabrouk
    Chetate, Boukhemis
    COMPUTER FIELD MODELS OF ELECTROMAGNETIC DEVICES, 2010, 34 : 671 - 677
  • [39] Trends and Challenges in Intelligent Condition Monitoring of Electrical Machines Using Machine Learning
    Kudelina, Karolina
    Vaimann, Toomas
    Asad, Bilal
    Rassolkin, Anton
    Kallaste, Ants
    Demidova, Galina
    APPLIED SCIENCES-BASEL, 2021, 11 (06):
  • [40] Fault Diagnosis of Rotating Electrical Machines Using Multi-Label Classification
    Dineva, Adrienn
    Mosavi, Amir
    Gyimesi, Mate
    Vajda, Istvan
    Nabipour, Narjes
    Rabczuk, Timon
    APPLIED SCIENCES-BASEL, 2019, 9 (23):