动态事件触发机制下时滞系统的早期故障检测

IF 3.2 3区计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS

International Journal of Robust and Nonlinear Control Pub Date : 2025-05-15 DOI:10.1002/rnc.8043

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

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引用次数: 0

摘要

研究了具有随机噪声的时滞系统的早期故障检测问题。为了降低通信和计算成本，采用了动态事件触发机制（DETM）。基于提升法和非均匀采样法，将DETM下的时滞系统转化为时变系统。然后，设计了一种新的早期故障检测算法，从概率意义上分析了故障的可检测性，有效地降低了给定虚警率下的漏检率。最后给出了两个算例，说明了所设计方法的有效性。

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

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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来源期刊

International Journal of Robust and Nonlinear Control 工程技术-工程：电子与电气

CiteScore

6.70

自引率

20.50%

发文量

505

审稿时长

2.7 months

期刊介绍： Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.