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地铁车轮不圆度多点非接触检测系统设计

909    2022-01-21

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作者:赵永兴, 尧辉明

作者单位:上海工程技术大学城市轨道交通学院,上海 201620


关键词:车轮不圆度;非接触检测;多点激光检测;小波滤波


摘要:

为准确、快速测量地铁车轮不圆度数据,设计一种多点激光检测系统。系统采用非接触检测方式,利用三个激光位移传感器实现对车轮踏面的多点检测。三个激光传感器同时测量可以提升维保检测效率,检测结果能更全面地评估车轮状态。采用最小二乘法拟合圆确定车轮几何圆心,通过小波滤波去除信号中的高频噪声,结果表明此方法在处理车轮不圆度这类随机信号时,可以快速去除信号中的高频噪声,筛选出有效信号。检测设备具有体积小、质量轻、操作简单等优势,可为车轮维护工作提供依据。


Design of multi-point non-contact detection system for subway wheel out-of-roundness
ZHAO Yongxing, YAO Huiming
School of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620,China
Abstract: To accurately and quickly measure the out-of-roundness data of subway wheels, a multi-point laser detection system is designed. The system uses a non-contact detection method, using three laser displacement sensors to achieve multi-point detection of wheel treads. Simultaneous measurement of three laser sensors can improve the efficiency of maintenance and inspection, and the inspection results can more comprehensively evaluate the wheel status. The least squares method is used to fit the circle to determine the geometric center of the wheel, and the high-frequency noise in the signal is removed by wavelet filtering. The results show that this method can quickly remove the high-frequency noise in the signal when dealing with random signals such as wheel out-of-roundness. A valid signal. The testing equipment has the advantages of small size, light weight, and simple operation, which provides a basis for wheel maintenance.
Keywords: wheel out-of-roundness;non-contact detection;multi-point laser detection;wavelet filtering
2022, 48(1):134-140  收稿日期: 2020-12-10;收到修改稿日期: 2021-01-25
基金项目: 国家自然科学基金资助项目(51975347)
作者简介: 赵永兴(1994-),男,河南新乡市人,硕士研究生,专业方向为轮轨检测及其磨耗形成机理
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