Fault detection and isolation using multiple Takagi-Sugeno fuzzy models

被引：0
|
作者：
Ichtev, A [1 ]
Hellendoorn, J [1 ]
Babuska, R [1 ]
机构：
[1] Delft Univ Technol, Fac Informat Technol & Syst, Syst & Control Engn Lab, NL-2600 GA Delft, Netherlands
来源：
10TH IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-3: MEETING THE GRAND CHALLENGE: MACHINES THAT SERVE PEOPLE | 2001年
关键词：
fault detection and isolation; multiple models; fuzzy TS models;
D O I：
暂无
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, soft fault detection and isolation (FDI) for nonlinear plants is addressed. A new method has been developed that combines fuzzy Takagi-Sugeno (TS) models, used for residual generation, with quadratic programming for residual evaluation and fault isolation. This method can isolate and identify total and partial failures, both single and multiple. The information from the FDI module can be used for control reconfiguration. One simulation and one real-time example are given to illustrate the functionality of the proposed approach.
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页码：1498 / 1502
页数：5
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