故障信号随机发生的故障依赖检测方法

Fault Dependency Detection Method Based on Random Occurrence of Fault Signal

王国良 伊成龙

Wang Guoliang Yi Chenglong

(辽宁石油化工大学 信息与控制工程学院，辽宁 抚顺 113001)

（School of Information and Control Engineering，Liaoning Shihua University，Fushun Liaoning 113001，China）

关键词: 故障检测与隔离, 故障依赖方法, 随机故障, H∞滤波, 线性矩阵不等式

This paper focuses on the fault detection of a class of discrete-time systems with random faults and proposes a fault-dependent approach. Firstly, a mathematical model is constructed to describe the above problems, and the characteristics of fault signals are transformed into matrices containing uncertainties. By constructing a fault detection filter as a residual generator, the fault detection and isolation (FDI) problem is transformed into a H∞filtering problem. Based on the established model, the H∞ performance is analyzed by adopting a fault-dependent method. The parameter-dependent Lyapunov function is selected for processing. On this basis, the existence condition of the fault detection filter is given in the form of linear matrix inequalities. Finally, an example is used to verify the effectiveness and practicability of the theoretical results.

国家自然科学基金项目（61473140）；辽宁省高创新人才支持计划项目(LR2017029)；辽宁省自然科学基金项目(2014020106)。

10.3969/j.issn.1672-6952.2018.02.015