文献类型：期刊文献

中文题名：故障检测及状态偏差估计的二级分解算法

英文题名：Fault Detection and Two - decomdosition Algorithm for State - error Estimation

作者：戴文战[1];刘鸿强[1];潘日芳[1]

机构：[1]华东化工学院自动化研究所

年份：1989

卷号：6

期号：3

起止页码：101

中文期刊名：控制理论与应用

外文期刊名：Control Theory & Applications

收录：CSTPCD;;Scopus;北大核心:【北大核心1992】；CSCD:【CSCD2011_2012】；

基金：国家自然科学基金

语种：中文

中文关键词：故障检测;滤波;分解估计;可靠性

外文关键词：Fault detection; Fault diagnosis; Reliability; Filtering Decomposition estimation

摘要：本文首先推导证明当参考模型和实际系统不相吻合时,根据参考模型建立的Kalman滤波器所产生的估计残差将与模型的偏离程度成正比,据此给出故障检测方法;其次推导出状态偏差形式的系统方程;最后将B·Friedland提出的分离估计法推广到状态偏差估计中,并进一步提出状态偏差估计的二级分解算法。
In this paper,it is shown that the residual process produced by kalman's filter which is based on the reference system is directly proportional to the mismatch degree of model, and a method of fault detectoon is presented. In addition, system equation in state error form is given. For simplifying estimation, the two-decomposition algorithm for state error estimation is also proposed. By various simulations, it is shown that us-ing this mathod we not only can judge whether there are fault but also can effectively estimate the process state, state error, and fault variables in system.