Model-based fault diagnosis using fuzzy matching

被引：20
|
作者：
Dexter, AL
Benouarets, M
机构：
[1] Department of Engineering Science, University of Oxford
来源：
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS | 1997年 / 27卷 / 05期
基金：
美国国家航空航天局;
关键词：
D O I：
10.1109/3468.618266
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new fuzzy-model-based approach to fault detection and diagnosis is proposed, The scheme uses a set of fuzzy reference models which describe faulty and fault-free operation, and a classifier based on fuzzy matching for fault diagnosis, The reference models are obtained off-line from simulation data, A fuzzy model which describes the actual behavior of the plant is identified on-line from normal operating data and compared to each of the reference models. A degree of similarity is evaluated every time the on-line fuzzy model is identified. Dempster's rule of combination is used to combine new evidence with that already collected, The method of diagnosis accounts for any ambiguity (which may result from fault-free and faulty operation, or different faults, having similar symptoms at a given operating point) by comparing the fuzzy reference models with each other, Results are presented which demonstrate the effectiveness of the scheme when it is used to detect and identify faults in the cooling coil subsystem of the air-handling unit of both simulated and experimental air-conditioning plant.
引用
收藏
页码：673 / 682
页数：10
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