An assistant decision-making for fault diagnosis based on multilayer information fusion
The current research progress and problems of grid fault diagnosis are analyzed, and the idea of information fusion is introduced to the process of assistant decision-making for fault diagnosis. Through matching the data, feature and decision-making concept of information fusion with the concrete su...
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Published in | Dianli Xitong Baohu yu Kongzhi Vol. 38; no. 24; pp. 14 - 18 |
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Main Authors | , , , |
Format | Journal Article |
Language | Chinese |
Published |
16.12.2010
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Subjects | |
Online Access | Get full text |
ISSN | 1674-3415 |
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Summary: | The current research progress and problems of grid fault diagnosis are analyzed, and the idea of information fusion is introduced to the process of assistant decision-making for fault diagnosis. Through matching the data, feature and decision-making concept of information fusion with the concrete subjects in grid fault diagnosis, an assistant decision-making structure of grid fault diagnosis is constructed based on multilayer information fusion. The combination of fault diagnosis method for Petri-net and fault matching method for WAMS data is applied to the feature level fusion of assistant decision-making, and the proposed assistant decision-making method is practiced, which solves the problem of incomplete information in grid fault diagnosis, and provides a reference for the research on advanced application of smart grid in the future. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1674-3415 |