摘要
轨边声学检测是列车轴承故障检测的有效手段之一,然而轨边信号在多普勒效应的影响下产生的时频调制给传统的冲击成分提取方法带来了挑战。现有的等周期多普勒瞬态小波模型未考虑轴承在实际运行中的非纯滚动问题,因此存在提取误差。针对该问题,提出了一种单瞬态多普勒调制Laplace小波模型与冲击成分提取方法,可构建与轨边信号时频结构相匹配的单瞬态多普勒调制Laplace小波模型,利用相关滤波法从轨边信号中逐个提取冲击成分。与现有的等周期多普勒瞬态小波模型相比,识别精度更高,仿真和实验分析验证了该方法的有效性。该方法可用于列车轴承故障轨边定量诊断,具有良好的应用前景。
Wayside acoustic monitoring is one of the effective methods of train bearing fault diagnosis.However,due to the Doppler-effect,the time-frequency modulation of wayside signals poses a challenge to traditional impulse identification method.There is an error when using the existing periodic Doppler transient wavelet model because it does not take the non-strict rolling problem into account.In order to address these problems,a single transient Doppler modulated Laplace wavelet model construction algorithm is studied in this paper.In this method,a single Doppler-modulated Laplace wavelet model that matches the time-frequency structure of the wayside signal can be constructed and then the correlation filtering method is employed to identify the impulse one by one from the wayside signal.Compared with the existing periodic Doppler transient wavelet model,the identification accuracy can be improved.The effectiveness of the proposed method is verified through simulation and experimental analysis.The proposed method can be used for quantitative diagnosis of train bearings and has a good application prospect.
作者
陈婧
刘方
付洋洋
刘永斌
陆思良
曹正
CHEN Jing;LIU Fang;FU Yang-yang;LIU Yong-bin;LU Si-liang;CAO Zheng(College of Electrical Engineering and Automation,Anhui University,Hefei 230601,China;National and Local Joint Engineering Laboratory of High Energy Saving Motor&Control Technology,Anhui University,Hefei 230601,China)
出处
《振动工程学报》
EI
CSCD
北大核心
2020年第4期842-853,共12页
Journal of Vibration Engineering
基金
国家自然科学基金资助项目(51875001,51505001,51675001,51605002)
安徽省自然科学基金资助项目(1608085QE110)。
