ABSTRACT This paper is concerned with the fault detection problem for a class of networked multi-rate systems with nonuniform sampling and dynamic quantization. The sampling interval of the measurements is allowed to be nonuniform that is governed by a time-homogenous Markov process with partly unknown and uncertain transition probabilities. The measured output is quantized by a dynamic quantizer and then transmitted through communication network subject to data missing. The main purpose of the problem under consideration is to design sampling-interval-dependent fault detection filters such that, in the simultaneous presence of nonuniform sampling, dynamic quantization, intermittent faults as well as missing measurements, the robustness of residuals with respect to the disturbance and the sensitivity of the residuals against the fault are guaranteed. Finally, a three-tank system is utilized to illustrate the effectiveness of the proposed fault detection scheme.

中文翻译：

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使用动态量化和缺失测量检测非均匀采样多速率系统的间歇性故障

摘要 本文涉及一类具有非均匀采样和动态量化的网络多速率系统的故障检测问题。允许测量的采样间隔是不均匀的，它由具有部分未知和不确定转移概率的时间齐次马尔可夫过程控制。测量的输出由动态量化器量化，然后通过通信网络传输，数据丢失。所考虑问题的主要目的是设计与采样间隔相关的故障检测滤波器，以便在同时存在非均匀采样、动态量化、间歇性故障以及丢失测量的情况下，保证了残差对干扰的鲁棒性和残差对故障的敏感性。最后，利用三罐系统来说明所提出的故障检测方案的有效性。