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- W2117353628 abstract "The paper based on the singular value decomposition and support vector machines, a new fault diagnosis of commutation failures method in HVDC system was proposed. The coefficient matrix acquired from wavelet package transform is first decomposed on singular value, by which fault current are mapped to different time-frequency sub-space. Then the singular value is put into support vector machines to carry out the SVM training and fault type identification. The new method in this paper has high recognition rate, identification speed and stability. It can solve the fault type classification well." @default.
- W2117353628 created "2016-06-24" @default.
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- W2117353628 date "2009-03-01" @default.
- W2117353628 modified "2023-09-27" @default.
- W2117353628 title "Fault Diagnosis of Commutation Failures in the HVDC System Based on Wavelet Singular Value and Support Vector Machine" @default.
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- W2117353628 doi "https://doi.org/10.1109/appeec.2009.4918374" @default.
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