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- W2359157367 abstract "SOM network(self-organizing feature map neural network) visual method which is simple,intuitionistic used for hydraulic power system fault classification in this paper.The parameters gained with frequency domain energy of signals,the data obtained is decomposed used wavelet packet(Db2 conjugate orthogonal filter bank) and the feature vector is extracted in normal and fault operating state of system.Then use the U matrix map and D matrix map as visual tools to simulate and analyse the classification results. Finally,it is compared with the general results.The Conclusion is that SOM network visual method is feasible and has high rate to fault discrimination." @default.
- W2359157367 created "2016-06-24" @default.
- W2359157367 creator A5088518575 @default.
- W2359157367 date "2009-01-01" @default.
- W2359157367 modified "2023-09-23" @default.
- W2359157367 title "Research on Fault Classification for Hydraulic Power System Based on Visual Analysis of SOM Network" @default.
- W2359157367 hasPublicationYear "2009" @default.
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