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- W2365103659 abstract "According to the characteristic frequency of rotating machinery rub-impact fault,the acquisition of fault characteristic signal can be obtained by multi-resolution characteristics of wavelet transformation.Further more,as the advantages of support vector machine in solving small samples,non-linearity and higher-dimension pattern recognition problem,fault diagnosis model with support vector machine is established.The simulation results prove that this method is accurate and can be spread,suitable for on-line identification." @default.
- W2365103659 created "2016-06-24" @default.
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- W2365103659 date "2010-01-01" @default.
- W2365103659 modified "2023-09-23" @default.
- W2365103659 title "The Recognition of the Rub-impact Fault Based on Wavelet-Support Vector Machine" @default.
- W2365103659 hasPublicationYear "2010" @default.
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