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The diagnostic reasoning based on fuzzy self-organizing neural network and its application

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5 Author(s)
Yan-ling Han ; CIMS & Robot Center, Shanghai Univ., China ; Yun Chen ; Shou-qi Cao ; Zhi-xiong Ying
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By means of the maturational fuzzy theory and the self-organizing map (SOM) neural network which is prepotent in the way of information mapping and self-organizing characteristics, this paper combines the fuzzy theory with SOM neural network having the feature of pinpoint nonlinearity, and applies it to the field of fault diagnosis for large-scale electro-mechanical equipments. The network structure and theory of learning of SOM are exhausted in detail, and the diagnostic principle and the implementation strategy of fault reasoning based on fuzzy self-organizing map (FSOM) neural network are researched. Finally, we verify the correctness and the practicability of this method by the instance during the procedure of diagnostic reasoning.

Published in:

Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on  (Volume:4 )

Date of Conference:

26-29 Aug. 2004

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