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首页> 外文期刊>Transactions of the Institute of Measurement and Control >A fault detection scheme for a class of distributed discrete-time non-linear systems with abrupt and incipient faults
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A fault detection scheme for a class of distributed discrete-time non-linear systems with abrupt and incipient faults

机译：一类具有突变和初生故障的分布式离散时间非线性系统的故障检测方案

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摘要

In this note, a consensus fault detection architecture for non-linear dynamical systems is investigated in discrete-time framework. Here, the discussed faults include abrupt and incipient faults. Moreover, the unstructured modelling uncertainty is taken into account in a large-scale system, which can be modelled as a set of subsystems, and the physical interaction between subsystems is described by non-linear functions, which can be learned on-line by neural networks. A network of local fault detectors (LFDs) is built so that each LFD monitors a single subsystem. For some overlapping components of subsystems, a co-operative estimator (CE) is embedded to avoid the consensus-less or non-co-operative case with respect to the LFDs. With the help of the designed CE, LFDs can be allowed to decide collectively on the presence of faults and the capability of detecting faults affecting overlapping variables may be improved by receiving more local diagnostic information. In addition, the derivation of rigorous analytical results for detectability properties is provided. Simulation results are given to show the effectiveness of the proposed scheme.
机译：在本说明中，在离散时间框架中研究了非线性动力学系统的共识故障检测体系结构。在此，所讨论的故障包括突然故障和初期故障。此外，在大型系统中考虑了非结构化建模的不确定性，可以将其建模为一组子系统，并且子系统之间的物理相互作用由非线性函数描述，可以通过神经网络在线学习。网络。建立了本地故障检测器（LFD）网络，以便每个LFD监视单个子系统。对于子系统的某些重叠组件，嵌入了一个协作估计器（CE），以避免针对LFD的共识不足或不协作的情况。借助设计的CE，可以允许LFD共同确定故障的存在，并且可以通过接收更多本地诊断信息来提高检测影响重叠变量的故障的能力。此外，还提供了针对可检测性的严格分析结果。仿真结果表明了该方案的有效性。

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