计算机科学
机制(生物学)
故障检测与隔离
事件(粒子物理)
断层(地质)
控制理论(社会学)
实时计算
控制(管理)
地质学
人工智能
物理
地震学
执行机构
量子力学
作者
Yichun Niu,Ming Gao,Yongli Wei,Wuxiang Huai,Li Sheng
摘要
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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