Time-Frequency Characteristics Analysis on Vibration Signals of a Three-Supported Rotor System with Misalignment

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.

• Periodical: Advanced Engineering Forum (Volumes 2-3)
• Pages: 717-721
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.2-3.717
• Online since: December 2011
• Authors: Xiao Xuan Qi, Mei Ling Wang, Li Jing Lin, Jian Wei Ji, Qing Kai Han
• Keywords: Empirical Mode Decomposition (EMD), Misalignment, Non-Stationary Signal, Wavelet Packet (WP)

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