Fault Detection and State Estimation in Automatic Control

Author:

Du Sheng123ORCID,Wang Wei4,Fu Hao5,Wan Xiongbo123

Affiliation:

1. School of Automation, China University of Geosciences, Wuhan 430074, China

2. Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China

3. Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, China

4. School of Information and Security Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China

5. School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China

Abstract

Fault detection and state estimation play pivotal roles in ensuring the reliability, safety, and performance of automatic control systems [...]

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Reference10 articles.

1. Machine learning and data-driven fault detection for ship systems operations;Cheliotis;Ocean Eng.,2020

2. Data-driven learning-based optimization for distribution system state estimation;Zamzam;IEEE Trans. Power Syst.,2019

3. Sutton, R.S., and Barto, A.G. (2018). Reinforcement Learning: An Introduction, MIT Press. [2nd ed.].

4. Reinforcement learning-based detection for state estimation under false data injection;Jiang;IEEE Access,2021

5. A reinforcement learning system for fault detection and diagnosis in mechatronic systems;Zhang;Comput. Model. Eng. Sci.,2020

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