算法
噪音(视频)
轴
信号(编程语言)
干扰(通信)
振动
均方误差
中值滤波器
信号处理
非线性系统
信噪比(成像)
计算机科学
控制理论(社会学)
声学
数学
工程类
电子工程
图像处理
数字信号处理
人工智能
统计
电信
程序设计语言
机械工程
频道(广播)
物理
控制(管理)
量子力学
图像(数学)
作者
Lingcong Xiong,Tieyi Zhang,Anlu Yuan,Zhipeng Zhang
摘要
This study analyzes the advantages and disadvantages of filtering algorithms for dynamic weighing signals. Highway road surface has road surface unevenness and other influencing factors. The body vibration of the vehicle driving process produces a certain amount of interference signals collected by the load cell to form noise signals. In addition, piezoelectric sensors and amplification circuits introduce a large amount of electrical noise. These noise signals are non-smooth, nonlinear, and have other characteristics. We study the filtering effects of moving average (MA), wavelet transform (WT), and variational mode decomposition (VMD) filtering algorithms on axle weight signals and evaluate the performance of the filtering algorithms through the Root Mean Square Error (RMSE), signal-to-noise ratio (SNR), and Normalized Correlation Coefficient (NCC). The comprehensive analysis shows that the variational modal decomposition filtering algorithm is more advantageous for axial weight signal processing. The design of the axle weight signal noise filtering algorithm is of great significance for improving the accuracy of the overall dynamic weighing system of the vehicle.
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