A Study on the Extraction Method of Wheel Rotation Signal Characteristic Quantity

Mengyao Pan, Shaowei Chen, Tusheng Lin, Ruitie Huan, Feng Wang, Yuqing Liu
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引用次数: 1

Abstract

Wheel rotation parameter is one of the key parameters reflecting driving safety. The existing characteristic quantity of wheel rotation signal adopts an extraction method of wheel radial acceleration curve, by which the measurement range of wheel radial acceleration sensor is quite large, with low sensitivity and resolution ratio, which is difficult to express the true status of radial acceleration and extract characteristic quantity of wheel rotation signal accurately. This article proposes a new method to extract characteristic quantity of wheel rotation signal through the curve of tangential acceleration. To acquire the tangential acceleration signal by installing an acceleration unit on the wheel, apply wavelet packet to make wavelet de-noising on the wheel tangential acceleration signal and then extract the characteristic quantity of wheel rotation signal by STFT. The experimental results indicate that the measuring error of wheel frequency under experimental conditions is -0.79%. This new approach can realize the high-precision measurement on the characteristic quantity of wheel rotation signal, and make further efforts to monitor and evaluate wheel brake performance.
车轮旋转信号特征量提取方法研究
车轮转动参数是反映行车安全性的关键参数之一。现有的车轮旋转信号特征量采用车轮径向加速度曲线提取方法,该方法测量范围较大,灵敏度和分辨率较低,难以准确表达车轮径向加速度的真实状态,难以准确提取车轮旋转信号的特征量。提出了一种利用切向加速度曲线提取车轮旋转信号特征量的新方法。通过在车轮上安装加速度单元来获取切向加速度信号,利用小波包对车轮切向加速度信号进行小波去噪,然后通过STFT提取车轮旋转信号的特征量。实验结果表明,在实验条件下,车轮频率的测量误差为-0.79%。该方法可实现对车轮旋转信号特征量的高精度测量,为车轮制动性能的监测和评价奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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