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• W1992471486 abstract "In light of the complex and non-stationary characteristics of misalignment vibration signal, this paper proposed a novel method to analyze in time-frequency domain under different working conditions. Firstly, decompose raw misalignment signal into different frequency bands by wavelet packet (WP) and reconstruct it in accordance with the band energy to remove noises. Secondly, employ empirical mode decomposition (EMD) to the reconstructed signal to obtain a certain number of stationary intrinsic mode functions (IMF). Finally, apply further spectrum analysis on the interested IMFs. In this way, weak signal is caught and dominant frequency is picked up for the diagnosis of misalignment fault. Experimental results show that the proposed method is able to detect misalignment fault characteristic frequency effectively." @default.
• W1992471486 created "2016-06-24" @default.
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• W1992471486 date "2011-12-01" @default.
• W1992471486 modified "2023-10-16" @default.
• W1992471486 title "Time-Frequency Characteristics Analysis on Vibration Signals of a Three-Supported Rotor System with Misalignment" @default.
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• W1992471486 doi "https://doi.org/10.4028/www.scientific.net/aef.2-3.717" @default.
• W1992471486 hasPublicationYear "2011" @default.
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