Feature Extraction of Vibration Signal Based on an Improved Local Wave Analysis

Abstract:

In order to reduce the random noise influence on local wave decomposition (LWD), the original data is adaptively denoised by lifting wavelet transform to strain mode aliasing in LWD, avoid the pseudo mode functions in LWD and improve the quality of LWD. Local wave marginal spectrum is employed to analyze vibration signal for extracting the characteristics information. Intrinsic mode functions obtained by LWD, the instantaneous frequency and amplitude can be calculated by the Hilbert transform. The improved local wave analysis can offer a measure of the energy distribution of vibration signal from its instantaneous frequency. Analysis and experimental result demonstrate the validity of the proposed method.

• Periodical: Applied Mechanics and Materials (Volumes 651-653)
• Pages: 575-578
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.651-653.575
• Online since: September 2014
• Authors: Feng Li Wang, Hui Xing, Shu Lin Duan
• Keywords: Feature Extraction, Lifting Scheme, Local Wave Decomposition, Rotor

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