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- W2354648717 abstract "A new diagnosis method of rotating machinery is presented in the paper.The procedures of the method are that the first the vibration signals of a rotating machine are decomposed by using a wavelet package so the characteristics of frequency partition are obtained;then characteristic vectors of six typical faults of rotating machine are build;and feature information of the faults is correctly extracted by using a RBF network;finally,the faults of the machine are diagnosed on the base of the established characteristic vectors and the RBF classifier.The experimental results demonstrate that the method can be applied into reliable diagnosis of typical faults of rotating machinery.Because wavelet package transform is used instead of traditional FFT,the method has fair prospects of application for the complex faults where frequency components are complex and wider and fault signals are varying with time." @default.
- W2354648717 created "2016-06-24" @default.
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- W2354648717 date "2006-01-01" @default.
- W2354648717 modified "2023-09-25" @default.
- W2354648717 title "Application of Radial Basis Function Network based on Wavelet Packet Transform to Fault Diagnosis" @default.
- W2354648717 hasPublicationYear "2006" @default.
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