Single-channel Blind Source Separation and Its Application in Analyzing Vibration of Engineering Machinery

doi:10.3901/JME.2016.10.001

Abstract

Abstract: A novel blind source separation method is proposed, which can separate sources with single channel measurement signal. And the amplitude of sources can be recovered accurately. First of all, one-dimensional measurement signal is decomposed into several intrinsic mode functions (IMF) by ensemble empirical mode decomposition, and combined with corresponding IMF into multiple two-dimensional matrixes. Then the sources can be separated by sparse component analysis method effectively. The effectiveness of proposed method is verified by simulated data. In practical application, the proposed method is utilized for separating sources by one-dimensional measurement signal recorded from an excavator. Then based on the separated sources, the contribution characteristics and transfer behaviors are analyzed. The analysis results can be utilized to guide the reduction of excavator vibration and noise.

Key words: contribution estimation, excavator, single-channel source separation, transfer analysis

CLC Number:

TH17

YU Gang, ZHOU Yiqi. Single-channel Blind Source Separation and Its Application in Analyzing Vibration of Engineering Machinery[J]. Journal of Mechanical Engineering, 2016, 52(10): 1-8.

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