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State of the Art Technologies in Fault Diagnosis of Electric Vehicles: A Component-Based Review

  • Published:2022 Issue: Volume: Page:1-1
  • ISSN:2332-7782
  • Container-title:IEEE Transactions on Transportation Electrification
  • language:
  • Short-container-title:IEEE Trans. Transp. Electrific.

Author:

Choudhary Anurag1ORCID,Fatima Shahab2ORCID,Panigrahi B. K.3ORCID

Affiliation:

1. School of Interdisciplinary Research (SIRe), Indian Institute of Technology Delhi, New Delhi, India

2. Centre for Automotive Research and Tribology, Indian Institute of Technology Delhi, India

3. Department of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Transportation,Automotive Engineering

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Hierarchical Graph Convolutional Networks With Latent Structure Learning for Mechanical Fault Diagnosis;IEEE/ASME Transactions on Mechatronics;2023-12

2. Advancing Vehicular Healthcare: The DAO-Based Parallel Maintenance for Intelligent Vehicles;IEEE Transactions on Intelligent Vehicles;2023-12

3. Effective Semantic Video Classification Model for Driverless Car;International Journal of Intelligent Transportation Systems Research;2023-11-13

4. Unsupervised dissimilarity-based fault detection method for autonomous mobile robots;Autonomous Robots;2023-10-28

5. Thermography-Based Fault Identification in Induction Motor Across Dynamic Speed Conditions;IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society;2023-10-16
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