Separating Multiple Moving Sources by Microphone Array Signals for Wayside Acoustic Fault Diagnosis

[+] Author and Article Information
Wei Xiong

96 Jinzai Road Hefei, Anhui 230026 China davidxw@mail.ustc.edu.cn

Qingbo He

800 Dongchuan Road Shanghai, Shanghaii 200240 China qbhe@ustc.edu.cn

Zhi-Ke Peng

State Key Laboratory of Mechanical System and Vibration Shanghai, Shanghai 200240 China z.peng@sjtu.edu.cn

1Corresponding author.

Contributed by the Noise Control and Acoustics Division of ASME for publication in the Journal of Vibration and Acoustics. Manuscript received October 6, 2018; final manuscript received April 2, 2019; published online xx xx, xxxx. Assoc. Editor: Zhongquan Charlie Zheng.

ASME doi:10.1115/1.4043508 History: Received October 06, 2018; Accepted April 04, 2019


Wayside Acoustic Defective Bearing Detector (ADBD) system is a potential technique in ensuring the safety of travelling vehicles. However, Doppler distortion and multiple moving sources aliasing in the acquired acoustic signals decrease the accuracy of defective bearing diagnosis. Currently, the method of constructing time-frequency (TF) masks for source separation was limited by empirical threshold setting. To overcome this limitation, this study proposed a dynamic Doppler multisource separation model and constructed a time domain-separating matrix (TDSM) to realize multisource separation in time domain. The TDSM was designed with two steps of: 1) constructing separating curves and time-domain remapping matrix (TDRM); 2) remapping each element of separating curves to its corresponding time according to the TDRM. Both TDSM and TDRM were driven by geometrical and motion parameters, which would be estimated by Doppler feature matching pursuit (DFMP) algorithm. After gaining the source components from the observed signals, correlation operation was carried out to estimate source signals. Moreover, diagnosis could be carried out by envelope spectrum analysis. Compared with the method of constructing TF masks, the proposed strategy could avoid setting thresholds empirically. Finally, the effectiveness of the proposed technique was validated by simulation and experimental cases. Results indicated the potential of this method for improving the performance of ADBD system.

Copyright © 2019 by ASME
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