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- W2355917231 abstract "A new method of transformer fault diagnosis based on adaptive fuzzy support vector machine with adjacent incremental algorithm is proposed. Based on the concept of feature extraction in pattern recognition,a hierarchical structure is employed to extract the input features closely related to the model of classification,and it has effectively suppressed the interference of redundant information; the adaptive parameter optimization algorithm has both increased the flexibility of parameter selection for FSVM and enhanced the convergence speed. Besides,the adjacent incremental algorithm has both improved the precision of the diagnosis model and increased the learning abilities to new samples. Compared with the diagnosis model of multi-SVM and multi-FSVM,this method has a strong convergence and excellent diagnosis result." @default.
- W2355917231 created "2016-06-24" @default.
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- W2355917231 date "2010-01-01" @default.
- W2355917231 modified "2023-09-23" @default.
- W2355917231 title "with adjacent incremental algorithm of transformer fault diagnosis" @default.
- W2355917231 hasPublicationYear "2010" @default.
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