Fault Detection and State Estimation in Automatic Control
Source abstract
Abstract
Fault detection and state estimation play pivotal roles in ensuring the reliability, safety, and performance of automatic control systems [...]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Fault Detection and Control Systems · Advanced Data Processing Techniques · Control Systems and Identification
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Automation, China University of Geosciences, Wuhan 430074, China
Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan 430074, China
Engineering Research Center of Intelligent Technology for Geo-Exploration, Ministry of Education, Wuhan 430074, China
School of Information and Security Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China
School of Computer Science and Technology, Wuhan University of Science and Technology, Wuhan 430081, China
References (10)
Show source-provided references
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2. Data-driven learning-based optimization for distribution system state estimation10.1109/TPWRS.2019.2909150 ↗
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 injection10.1109/ACCESS.2021.3076538 ↗
5. A reinforcement learning system for fault detection and diagnosis in mechatronic systems
6. Talebi, H.A., Abdollahi, F., Patel, R.V., and Khorasani, K. (2009). Neural Network-Based State Estimation of Nonlinear Systems: Application to Fault Detection and Isolation, Springer.10.1007/978-1-4419-1438-5 ↗
7. Challenges and opportunities of deep learning-based process fault detection and diagnosis: A review10.1007/s00521-022-08017-3 ↗
8. Fault detection based on robust adaptive thresholds: A dynamic interval approach10.1016/j.arcontrol.2013.04.001 ↗
9. Coupling pattern recognition with state estimation using Kalman filter for fault diagnosis10.1109/TIE.2011.2181133 ↗
10. Robust state estimation and fault diagnosis for uncertain hybrid nonlinear systems10.1016/j.nahs.2007.01.002 ↗