Fault Detection and Diagnosis of Singular Stochastic Distribution Systems

被引：3
|
作者：
Li, Jian [1 ]
Zhou, Jinglin [1 ]
Zhou, Donghua [1 ]
机构：
[1] Tsinghua Univ, Dept Automat, Beijing 100084, Peoples R China
来源：
2008 7TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-23 | 2008年
关键词：
fault detection and diagnosis; stochastic distribution systems; singular systems; B-spline expansion; probability density function;
D O I：
10.1109/WCICA.2008.4592936
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a new filter-based method for fault detection and diagnosis (FDD) of linear singular stochastic distribution systems is presented. It is supposed that only the output probability density function (PDF) of the system is measured instead of the output signal itself. Linear B-spline expansions are adopted to decouple the input from the output PDF. This results in a dynamic model between the input and the weights of B-spline basis functions. Singularity means some weights are algebraically related to the input. For this complicated system, both detection and diagnostic filters are presented as well as the adaptive tuning rule for fault. Simulations are provided to demonstrate the efficiency of the proposed approach.
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页码：274 / 279
页数：6
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