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Intermittent fault detection for linear discrete-time stochastic multi-agent systems

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  • Sheng, Li
  • Zhang, Sen
  • Gao, Ming

Abstract

In this paper, the intermittent fault (IF) detection problem is investigated for a class of linear discrete-time stochastic multi-agent systems (MASs). By using the reduced-order observer method and introducing a sliding-time window, the truncated residuals are designed to detect the appearing time and disappearing time of the IF. Moreover, two sets of hypothesis tests are proposed to determine the detection and location thresholds of the IF, and the detectability of the IF is discussed in the framework of statistical analysis. Finally, a simulation example is provided to validate the feasibility and effectiveness of the proposed method.

Suggested Citation

  • Sheng, Li & Zhang, Sen & Gao, Ming, 2021. "Intermittent fault detection for linear discrete-time stochastic multi-agent systems," Applied Mathematics and Computation, Elsevier, vol. 410(C).
    • Handle: RePEc:eee:apmaco:v:410:y:2021:i:c:s0096300321005695
    DOI: 10.1016/j.amc.2021.126480
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    References listed on IDEAS

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    1. Ye, Dan & Li, Xiehuan, 2020. "Event-triggered fault detection for continuous-time networked polynomial-fuzzy-model-based systems," Applied Mathematics and Computation, Elsevier, vol. 366(C).
    2. Maoyin Chen & Guibin Xu & Rongyi Yan & Steven X. Ding & Donghua Zhou, 2015. "Detecting scalar intermittent faults in linear stochastic dynamic systems," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(8), pages 1337-1348, June.
    3. Cai, Yuliang & Dai, Jing & Zhang, Huaguang & Wang, Yingchun, 2021. "Fixed-time leader-following/containment consensus of nonlinear multi-agent systems based on event-triggered mechanism," Applied Mathematics and Computation, Elsevier, vol. 396(C).
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    Cited by:

    1. Fang, Xiaoyu & Qu, Jianfeng & Chai, Yi, 2023. "Self-supervised intermittent fault detection for analog circuits guided by prior knowledge," Reliability Engineering and System Safety, Elsevier, vol. 233(C).

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