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A Rough Set-Theory-Based Fault-Diagnosis Method for an Electric Power-Steering System

  • Published:2018-10 Issue:5 Volume:23 Page:2042-2053
  • ISSN:1083-4435
  • Container-title:IEEE/ASME Transactions on Mechatronics
  • language:
  • Short-container-title:IEEE/ASME Trans. Mechatron.

Author:

Ghimire RajeevORCID,Zhang Chao,Pattipati Krishna R.ORCID

Funder

National Science Foundation

UConn's Academic Plan in the area of Complex Systems and Big Data

National Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Cited by 41 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. Enhanced health states recognition for electric rudder system using optimized twin support vector machine;Quality and Reliability Engineering International;2024-09-04

2. Diagnosis-based design of electric power steering system considering multiple degradations: role of designable generative adversarial network anomaly detection;Journal of Computational Design and Engineering;2024-06-14

3. A novel approach to the FPIBSC strategy for an electric power steering system;Transactions of the Institute of Measurement and Control;2024-06-03

4. Shared neighbors rough set model and neighborhood classifiers;Expert Systems with Applications;2024-06

5. Applications of Rough Set Theory in Demand Side Management of Electrical Power Industry: A Review;2024 IEEE 4th International Conference in Power Engineering Applications (ICPEA);2024-03-04
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