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A Data-Driven Robust Fault Detection Method for Linear Systems with Full-Order Sensors

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Abstract

This paper proposes a data-driven robust fault detection scheme for linear systems with full-order sensors but unknown system internal parameters. Considering the disturbances during practical system operation, the robust fault detection index is incorporated to design the residual generator for fault detection. The key parameters of the robust index are derived from the system data based on the subspace identification, and an optimal parity vector is solved to construct the data-driven robust residual generator. The proposed data-driven method can better adapt to the fault detection task in actual systems compared with the model-based methods. Meanwhile, compared with the relevant data-driven results, the proposed method can reduce the conservatism in the robust fault detection scheme with a lower false alarm rate. The simulation results of a benchmark DC circuit system illustrate the improved performance of the proposed scheme.

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Acknowledgements

This work was supported in part by the National Key R &D Program of China (Grant No. 2020YFB1712600), in part by the Funds of National Science of China (Grant Nos. 61903132, 61903141,61973146), in part by the Taishan Scholar Project of Shandong Province of China (Grant No. tsqn201909097), in part by the Changsha Municipal Natural Science Foundation (Grant No. kq2007035)

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Authors and Affiliations

  1. College of Electrical Engineering and Information, Hunan University, Changsha, China

    Zhe Li, Kexin Liu & Yaonan Wang

  2. National Engieering Research Center of Robotic Vision and Control Technology, Changsha, 410082, Hunan, China

    Zhe Li, Kexin Liu, Yaonan Wang & Li Liu

  3. College of Science, Liaoning University of Technology, Jinzhou, 121001, Liaoning, China

    Yuan-Xin Li

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  1. Zhe Li
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  2. Kexin Liu
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  3. Yuan-Xin Li
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  4. Yaonan Wang
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  5. Li Liu
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Correspondence to Yuan-Xin Li.

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Li, Z., Liu, K., Li, YX. et al. A Data-Driven Robust Fault Detection Method for Linear Systems with Full-Order Sensors. Circuits Syst Signal Process 41, 5428–5443 (2022). https://doi.org/10.1007/s00034-022-02046-y

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  • DOI: https://doi.org/10.1007/s00034-022-02046-y

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