A Data-Driven Scheme for Fault Detection of Discrete-Time Switched Systems
Hao Zhao1, Hao Luo1, Yunkai Wu2
1Department of Control Science and Engineering, Harbin Institute of Technology, Harbin 150001, China.
Sensors (Basel, Switzerland)
|July 2, 2021
Summary
This study addresses fault detection in discrete-time switched systems using a data-driven method. It develops new algorithms for systems with unknown switching laws, improving fault detection accuracy.
Area of Science:
- Control Systems Engineering
- Systems Science
- Data-Driven Analysis
Background:
- Fault detection in switched systems is challenging due to potential mode mismatching between the system and residual generators.
- Existing methods often assume availability of switching laws, which is impractical in many real-world applications.
Purpose of the Study:
- To develop a data-driven fault detection approach for discrete-time switched systems with unavailable switching laws.
- To address the mode matching problem by incorporating mode recognition into the fault detection process.
Main Methods:
- Investigated fault detection for discrete-time switched systems using a data-driven approach.
- Developed sufficient conditions for mode distinguishability in the absence of switching law information.
- Proposed a novel decision logic and data-driven algorithms for fault detection.
Main Results:
- Successfully addressed the fault detection issue for switched systems with unavailable switching laws.
- Demonstrated the feasibility and usefulness of the proposed methods through a benchmark three-tank system.
- Achieved improved fault detection accuracy by considering mode recognition and developing new algorithms.
Conclusions:
- The proposed data-driven fault detection method is effective for discrete-time switched systems, even when switching laws are unknown.
- The developed mode recognition and decision logic enhance the robustness of fault detection against mode mismatching.
- This research offers a practical solution for fault detection in complex switched systems.
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