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- W2352544207 abstract "The early rub impact fault detection of an engine rotor system in noise circumstances is researched. An optimum parameter searching method that can improve the ICA algorithm is proposed and applied to the separation between vibra signal and noise. After that, the separated vibra signal is analyzed on the wavelet packet decomposition to obtain the early rub impact fault features. Simulation results show that the modified ICA algorithm is effective on denoise of vibra signal, and wavelet packet decomposition may provide richer early rub impact fault information than wavelet decomposition. The proposed approach may be a desired solution to fault detection and diagnosis of early rub impact in engineering practice." @default.
- W2352544207 created "2016-06-24" @default.
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- W2352544207 date "2003-01-01" @default.
- W2352544207 modified "2023-09-25" @default.
- W2352544207 title "Early Rub-Impact Fault Detection in Noise Circumstances" @default.
- W2352544207 hasPublicationYear "2003" @default.
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