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- W2371023701 abstract "A rotating machinery fault diagnosis method based on intrinsic time-scale decomposition(ITD) and Wigner-Ville distribution(WVD) was proposed for the cross-term interference problem of WVD in analyzing multi-component rotating machinery vibration signals. Firstly, original vibration signal was decomposed into some proper rotation(PR) components. Secondly, false PR components were deleted according to the principle of the correlation coefficient. Thirdly,WignerVille distributions of true components were computed. Finally,all the analysis results of every true component were added to extract the time-frequency distribution characteristics of the original signal. An analysis on simulation signals shows that this method preserves the advantages of ITD and WVD, the cross-term in WVD can be effectively suppressed, and the result is better than the smoothed pseudo Wigner-Ville distribution(PWVD). A rotor oil whirl instance was presented to validate the practicability of this approach." @default.
- W2371023701 created "2016-06-24" @default.
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- W2371023701 date "2015-01-01" @default.
- W2371023701 modified "2023-09-26" @default.
- W2371023701 title "Rotating machinery fault diagnosis method based on ITD and Wigner-Ville distribution" @default.
- W2371023701 hasPublicationYear "2015" @default.
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