Data‐driven method for the quantitative fault diagnosability analysis of dynamic systems-Reference-Cited by-同舟云学术

Data‐driven method for the quantitative fault diagnosability analysis of dynamic systems

Published:2019-04 Issue:8 Volume:13 Page:1197-1203
ISSN:1751-8652
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Applications

Author:

Fu Fangzhou¹,Wang Dayi²,Li Linlin³,Li Wenbo¹,Wu Zhigang⁴

Affiliation:

1. Beijing Institute of Control Engineering, China Academy of Space TechnologyBeijing100190People's Republic of China

2. Beijing Institute of Spacecraft System Engineering, China Academy of Space TechnologyBeijing100190People's Republic of China

3. Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology BeijingBeijing100083People's Republic of China

4. School of Aeronautics and Astronautic, Sun Yat‐sen UniversityGuangzhou510006People's Republic of China

Funder

China Scholarship Council

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.5378

Reference29 articles.

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3. An alternative data-driven fault detection scheme for dynamic processes with deterministic disturbances

4. Optimal actuator fault detection for a TGSCM system based on disturbance compensation;Zhong M.;IEEE Trans. Ind. Electron.,2016

5. Event-Based Fault Detection Filtering for Complex Networked Jump Systems

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