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Fault Section Estimation Using Fuzzy Matrix-Based Reasoning Methods
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AI
DOI：10.1109/TPWRD.2010.2061873.png)
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Abstract
En 中文
A technique of fuzzy reasoning via rule matrix transformations has been developed to estimate fault sections for distribution substations. This study extended the application of fault diagnosis from binary reasoning to fuzzy reasoning. In the inference procedures, the causalities of fault sections and the actions of protective devices were first represented by the fuzzy cause-effect networks (FCE-Nets). After performing some simple matrix operations, the possible fault sections were estimated. This proposed approach offers a clear framework, rapid reasoning, the ability to handle uncertainty, and it has no problem with convergence during the diagnosis procedure.
Keywords:
Boolean rule matrix
cause-effect networks
fault diagnosis
fuzzy reasoning
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