Incipient Fault Detection for Time‐Delayed Systems Under Dynamic Event‐Triggered Mechanism

ABSTRACT This article investigates the problem of incipient fault detection for time‐delayed systems with stochastic noise. For the sake of reducing the communication and computing cost, the dynamic event‐triggered mechanism (DETM) is employed. Based on the lifting method and the nonuniform sampling method, the time‐delayed system under the DETM is transformed to a time‐varying system. Then, a novel incipient fault detection algorithm is designed, and the fault detectability is analyzed in a probabilistic sense, which effectively reduces the missed detection rate under a given false alarm rate. Finally, two examples are given to show the availability of the designed method.

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Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-05-15
DOI
https://doi.org/10.1002/rnc.8043
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Incipient Fault Detection for Time‐Delayed Systems Under Dynamic Event‐Triggered Mechanism

Yichun Niu, Yongli Wei, Wuxiang Huai, Ming Gao et al.
International Journal of Robust and Nonlinear Control
Fault Detection and Control Systems
article

Incipient Fault Detection for Time‐Delayed Systems Under Dynamic Event‐Triggered Mechanism

Yichun Niu, Yongli Wei, Wuxiang Huai, Ming Gao, Li Sheng
article en

Abstract

ABSTRACT This article investigates the problem of incipient fault detection for time‐delayed systems with stochastic noise. For the sake of reducing the communication and computing cost, the dynamic event‐triggered mechanism (DETM) is employed. Based on the lifting method and the nonuniform sampling method, the time‐delayed system under the DETM is transformed to a time‐varying system. Then, a novel incipient fault detection algorithm is designed, and the fault detectability is analyzed in a probabilistic sense, which effectively reduces the missed detection rate under a given false alarm rate. Finally, two examples are given to show the availability of the designed method.

International Journal of Robust and Nonlinear ControlVol. 35(14)
China University of Petroleum, East China (CN), Ocean University of China (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 89%
Fault Detection and Control Systems
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Incipient Fault Detection for Time‐Delayed Systems Under Dynamic Event‐Triggered Mechanism — Yichun Niu, Yongli Wei, et al. · International Journal of Robust and Nonlinear Control (2025) | TGRS Research Map | TGRS