A Hybrid Model-Data Vehicle Sensor and Actuator Fault Detection and Diagnosis System-Reference-Cited by-同舟云学术

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A Hybrid Model-Data Vehicle Sensor and Actuator Fault Detection and Diagnosis System

Published:2024-07 Issue:7 Volume:25 Page:8121-8133
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Zabihi Mehdi¹^ORCID,Mehrizi Reza Valiollahi¹^ORCID,Kasaiezadeh Alireza²,Pirani Mohammad³^ORCID,Khajepour Amir¹^ORCID

Affiliation:

1. Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON, Canada

2. Research and Development Department, General Motors Company, Warren, MI, USA

3. Department of Mechanical Engineering, University of Ottawa, Ottawa, ON, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Ontario Research Fund

General Motors Corporation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6979/10582787/10471288.pdf?arnumber=10471288

Reference46 articles.

1. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

2. On Fault Detection and Diagnosis in Robotic Systems

3. A survey of graph-theoretic approaches for analyzing the resilience of networked control systems;Pirani;arXiv:2205.12498,2022

4. From Model, Signal to Knowledge: A Data-Driven Perspective of Fault Detection and Diagnosis

5. A Review of Fault Detection and Diagnosis for the Traction System in High-Speed Trains

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