道旁声学信号多普勒畸变校正
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Doppler shift correction for wayside acoustic signals
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    摘要:

    采用道旁声学信号来分析列车滚动轴承故障的方法是该领域故障诊断发展的主要方向,但拾音器和声源的相对运动造成的多普勒效应使得声学信号的频谱发生了畸变,从而无法准确地反映设备状态。为了解决多普勒效应带来的采集信号频谱畸变,准确恢复原信号频谱结构,本文提出一种基于频偏率的变采样技术的方法,在通过外部条件获得信号频偏变化曲线后,根据频偏曲线获得每个采样点的频偏比例,利用变采样技术,通过插值方法获得新采样信号。本文是对作者所提重采样技术校正多普勒频偏方法的深化和提高,该方法能准确恢复原声学信号频偏结构,并通过仿真信号和实验验证了该方法的有效性。

    Abstract:

    To on-linely diagnose faults of train bearings, wayside acoustic signal analysis is one of the most important development directions. However, the Doppler Effect due to relative motion between microphone and acoustic source would cause the acoustic signal spectrum being distorted, which is not beneficial to accurately reflect equipment health conditions. In order to solve the doppler effect of acquisition signal spectrum distortion and accurately restore the original signal spectrum structure, the paper proposes a signal variable sampling method based on frequency shift ratio, which can effectively solve the above problem of distorted spectrum for acoustic signals with the Doppler Effect. Firstly, the curve of frequency shift was figured out with known conditions under measurement; secondly, the frequency shift ratio of every sampling point was obtained based on the frequency shift curve; the last, using variable sampling technology, the new sampling signal was obtained by the interpolation method. The paper improves the resampling method based on frequency shift curve, which has been proposed by the authors previously. The effectiveness of the proposed method is verified by simulation and experiment.

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吴强,何清波,孔凡让.道旁声学信号多普勒畸变校正[J].数据采集与处理,2014,29(2):309-315

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  • 在线发布日期: 2014-05-08