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

机译:减少多普勒效应,满足铁路车辆路边状况监控系统的需求

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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.
机译:行驶中的车辆的声学状态监视技术基于以下假设:诊断相关信息存储在经过的车辆产生的声学信号中。在分析增加具有固定麦克风的过往车辆的状况监测有效性的可能性时,应注意,在这些状况下记录的声音信号会受到多普勒效应引起的干扰的干扰。通过减少由多普勒效应引起的信号的频繁结构扰动,可以有效地分析记录信号的频繁结构的变化,并且可以提取与车辆的行驶机构的技术状况相关的诊断信息。本文提出了一种消除与车辆和固定监测站相对移动有关的信号频繁结构干扰的方法。为了消除信号的频繁非平稳性,使用了面向干扰的动态信号重采样方法。本文提供了两种用于定义信号频繁结构局部扰动时间过程的方法的检验:基于希尔伯特变换的方法和基于引起频繁非平稳现象的知识的信号扰动分析描述方法的信号。例如,介绍了在WM-15A铁路车辆通过波兰铁路学院的实验轨道期间,路边测量站记录的声学信号的处理和分析结果。

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