Reduction of Doppler effect for the needs of wayside condition monitoring system of railway vehicles

Reduction of Doppler effect for the needs of wayside condition monitoring system of railway vehicles
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DOI:
10.1016/j.ymssp.2012.03.003
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发表时间:
2013-07-05
影响因子:
8.4
通讯作者:
Radkowski, Stanislaw
Radkowski, Stanislaw
中科院分区:
工程技术1区
文献类型:
--
作者:
Dybala, Jacek;Radkowski, Stanislaw

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运动中车辆的声学状态监测技术基于这样的假设,即诊断相关信息存储在由经过的车辆产生的声学信号中。在分析利用固定麦克风提高过往车辆的状态监测的有效性的可能性时,应当注意,在这些条件下记录的声学信号受到多普勒效应引起的干扰的干扰。为了减少多普勒效应对信号频率结构的干扰,可以有效地分析记录信号的频率结构变化,从而提取与车辆走行部技术状态有关的诊断信息,本文提出了一种消除与车辆和固定监测站相对运动有关的信号频率结构干扰的方法。为了消除信号的频率非平稳性,采用了面向扰动的动态信号恢复方法。本文对确定信号频率结构局部扰动时程的两种方法进行了检验:基于Hilbert变换的方法和基于信号频率非平稳性的一种现象的信号扰动解析描述方法,并以某型铁路沿线测站声信号为例,给出了处理和分析的结果。介绍了WM-15 A铁道车辆在波兰铁路研究所试验轨道上通过时的运行情况。(C)2012爱思唯尔有限公司保留所有权利。
Technology of acoustic condition monitoring of vehicles in motion is based on the assumption that diagnostically relevant information is stored in the acoustic signal generated by a passing vehicle. Analyzing the possibilities of increasing the effectiveness of condition monitoring of a passing vehicle with stationary microphones, it should be noted that the acoustic signal recorded in these conditions is disturbed with the disturbance resulting from the Doppler effect. Reduction of signal's frequential structure disturbance resulting from the Doppler effect allows efficient analysis of changes in frequential structure of recorded signals and as a result extraction of relevant diagnostic information related with technical condition of running gear of vehicle.This article presents a method for removal of signal's frequential structure disturbances related with relative move of vehicles and stationary monitoring station. For elimination of the frequential non-stationary of signals disturbance-oriented dynamic signal resampling method was used. The paper provides a test of two methods for defining the time course of local disturbance of signal's frequential structure: the method based on the Hilbert transform and the method of analytical description of signal's disturbance based on the knowledge of a phenomenon that causes frequential non-stationarity of signals.As an example, the results of the processing and analysis of acoustic signals recorded by wayside measuring station, during the passage of WM-15A railway vehicle on an experimental track of Polish Railway Institute, are presented. (C) 2012 Elsevier Ltd. All rights reserved.