Survey of robust residual generation and evaluation methods in observer-based fault detection systems

被引:894
作者
Frank, PM [1 ]
Ding, X [1 ]
机构
[1] FB ELEKTROTECH,FH LAUSITZ,D-01968 SENFTENBERG,GERMANY
关键词
fault detection; robustness; unknown input observer; nonlinear observer; adaptive observer; observer-based fault detection; fuzzy logic;
D O I
10.1016/S0959-1524(97)00016-4
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The paper outlines recent advances of the theory of observer-based fault diagnosis in dynamic systems towards the design of robust techniques of residual generation and residual evaluation. Emphasis will be placed upon the latest contributions using frequency domain techniques including H-infinity, theory, nonlinear unknown input observer theory, adaptive observer theory, artificial intelligence including fuzzy logic, knowledge-based techniques and the natural intelligence of the human operator. Two representative examples illustrate the efficiency of the observer-based approach. (C) 1997 Elsevier Science Ltd.
引用
收藏
页码:403 / 424
页数:22
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