Fuzzy model based fault diagnosis
Fuzzy model based fault diagnosis
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DOI：
10.1049/ip-cta:19952089
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发表时间：
1995-11
期刊：
影响因子：
--
通讯作者：
A. Dexter
中科院分区：
文献类型：
--
作者：
A. Dexter
本文描述了一种基于模型的故障诊断方案，该方案使用显式模糊参考模型来描述故障运行和无故障运行的症状。参考模型是由典型对象的计算机仿真产生的训练数据生成的。模糊匹配方案将使用从实际工厂收集的正常运行数据在线识别的模糊部分模型的参数与参考模型的参数进行比较。还将参考模型相互比较，以考虑当正确和故障操作的症状相似时在某些操作点出现的模糊性。根据相似度的模糊度量来计算基本任务，这些任务指示系统运行正常或存在特定故障的证据的强度。给出的结果表明了该方案的适用性。
The paper describes a model based fault diagnosis scheme which uses explicit fuzzy reference models to describe the symptoms of both faulty and fault-free plant operation. The reference models are generated from training data which are produced by computer simulation of typical plant. A fuzzy matching scheme compares the parameters of a fuzzy partial model, identified online using normal operating data collected from the real plant, with the parameters of the reference models. The reference models are also compared to each other to take account of the ambiguity which arises at some operating points when the symptoms of correct and faulty operation are similar. Basic assignments, which indicate the strength of the evidence that the system is operating correctly or has a particular fault, are calculated from the fuzzy measures of the similarity. Results are presented which demonstrate the applicability of the scheme.