高速列车振动监测信号的频率特征

英文篇名：Vibration Monitoring Signals Frequency Feature of High Speed Train
中文刊名：仪表技术与传感器
英文刊名：Instrument Technique and Sensor
作者：李智敏 ; 苟先太 ; 秦娜 ; 金炜东
英文作者：LI Zhi-min ; GOU Xian-tai ; QIN Na ; JIN Wei-dong ; School of Material Science and Engineering ; Southwest Jiaotong University ; School of Electrical Engineering ; Southwest Jiaotong University
中文关键词：频率 ; 小波 ; 窗口傅立叶变换 ; 高速列车 ; 安全
英文关键词：frequency ; wavelet ; windowed Fourier transform ; high speed train ; safety
出版日期：2015-05-15
机构：西南交通大学材料科学与工程学院;西南交通大学电气工程学院;
年：2015
期：05
出版单位：仪表技术与传感器

摘要

为区分高速列车不同工况,利用DB5小波提取高速列车不同工况振动信号的频域特征,用窗口傅立叶变换计算瞬时频率。结果表明:低速时不同工况的频域特征差异不大;随着速度增大,不同工况的主频、次主频及其对应的能量差异变得明显;不同工况失稳时的瞬时频率不同,据此可区分失稳的工况类型。前述结果可用于判断高速列车运行状态,为高速列车安全、舒适运行提供数据基础。
For differentiating different working condition of high speed train,frequency characteristics of the signals was got with DB5,and the instantaneous frequency of the signals was achieved with windowed Fourier transform. The results show that at low- speed,the difference of frequency domain feature in different working condition is not clearly,but as the speed increases,the difference of dominant frequency,the second dominant frequency and its energy become more obvious; when the train is in instability,the instantaneous frequency of different working condition is different,so different working condition of instability can be distinguished based on the frequency characteristics. These results can be used to estimate run- state of the high speed train and provide data base to the safely and comfortably running of the high speed train.

引文

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