Fault detection and diagnosis based on PDF and time-delay

doi:10.3778/j.issn.1002-8331.1609-0295

Abstract

Abstract: In this paper, a method of fault detection and diagnosis based on Probability Density Function（PDF） is proposed for stochastic distributed systems with time-delay. The residual of the PDF information is established firstly, then it designs fault detection observer and fault estimator based on the linear matrix inequality utilizing the theory of fault detection and diagnosis, and passes through the stability analysis, realizes fault detection and estimation of the system. Finally, the numerical simulation shows the effectiveness of the method.

Key words: time-delay, stochastic distribution system, fault detection and diagnosis, observer

摘要： 针对包含时滞的随机分布系统，提出了一种基于概率密度函数（PDF）的时滞依赖故障检测与诊断方法。建立了基于PDF信息的故障检测残差，利用故障检测与诊断理论，设计了基于线性矩阵不等式的故障检测观测器和故障估计器，并且通过了稳定性分析，实现了对该系统的故障检测以及估计。通过数值仿真，证明了该方法的有效性。

关键词: 时滞, 随机分布系统, 故障检测与诊断, 观测器

CHEN Long, LI Tao, XU Xiaofeng. Fault detection and diagnosis based on PDF and time-delay[J]. Computer Engineering and Applications, 2018, 54(6): 257-263.

陈龙，李涛，徐啸峰. 基于概率密度函数的时滞依赖故障检测与诊断[J]. 计算机工程与应用, 2018, 54(6): 257-263.

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Fault detection and diagnosis based on PDF and time-delay

基于概率密度函数的时滞依赖故障检测与诊断

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