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- W2370988147 abstract "Vibration fault diagnosis of hydroelectric unit was investigated using method of least square support vector machine(LS-SVM)and Dempster-Shafer theory(D-S Theory).Spectrum and amplitude characteristic was acted as eigenvector of learning samples to train the constructed LS-SVM regression and classifier for realizing mapping relationship between the fault and the characteristic.Information fusion was realized after completing local diagnosis,and then fault diagnosis was achieved.Experiments show that the method has a rapidly diagnostic process and generalization performances.It is suitable for the vibration fault diagnosis of hydroelectric unit." @default.
- W2370988147 created "2016-06-24" @default.
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- W2370988147 date "2007-01-01" @default.
- W2370988147 modified "2023-09-24" @default.
- W2370988147 title "Vibration Fault Diagnosis of Hydroelectric Unit Based on LS-SVM and Information Fusion Technology" @default.
- W2370988147 hasPublicationYear "2007" @default.
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