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- W2389457458 abstract "Wavelet transformation(WT) is an effective approach for time-frequency analysis.It has been widely applied to unsteady-state data analysis in many fields.The capability of multi-scale analysis of wavelet transformation was used for analyzing and extracting the feature of several typical faults of rolling bearing(including outer race faults).Firstly,the WT technique was implemented to obtain detailed parameters of a vibration signal. Then by means of Hilbert envelope spectral analysis,the unsteady-state fault feature was extracted.The experimental result showed that the unsteady-state feature of rolling bearing fault signals could be obtained effectively by using the combined wavelet transformation with Hilbert envelope spectral analysis so that an accurate fault diagnosis would be completed." @default.
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- W2389457458 date "2008-01-01" @default.
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- W2389457458 title "Envelope spectrum analysis of rolling bearing fault signal based on wavelet transforms" @default.
- W2389457458 hasPublicationYear "2008" @default.
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