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Wavelet domain analysis for identification of vehicle axles from bridge measurements

机译:小波域分析从桥梁测量中识别车轴

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摘要

Bridge weigh-in-motion (B-WIM) is a process by which the axle and gross vehicle weights of vehicles travelling at highway speeds can be determined from instrumented bridges. The traditional method of attaching strain transducers to the soffit of the bridge and placing axle detectors on the road surface has been replaced here by using additional transducers underneath the bridge for axle detection and nothing-on-the-road (NOR). This paper presents a wavelet based analysis of strain signals and shows the efficacy of using wavelets in pattern recognition of these signals. The transformed signals are used to identify axle passage and hence the vehicle velocity and the axle spacing. In addition to numerically generated strains, signals acquired from such a NOR instrumentation of a bridge in Slovenia have been analysed by the method of wavelet transformation to extract axle position information that was not readily detectable using existing methods.
机译:桥梁动态称重(B-WIM)是一个过程,通过该过程可以从仪表桥确定以高速公路速度行驶的车辆的轴重和车辆总重。在桥的拱腹上安装应变传感器并将传统的轴检测器放置在路面上的传统方法已被替换,方法是在桥下方使用其他传感器进行轴检测和非道路行驶(NOR)。本文介绍了基于小波的应变信号分析,并展示了在这些信号的模式识别中使用小波的功效。转换后的信号用于识别轴通道,从而识别车速和轴间距。除了数值生成的应变之外,还通过小波变换方法分析了从斯洛文尼亚桥梁的NOR仪器获取的信号,以提取使用现有方法不易检测到的轴位置信息。

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