基于小波变换理论的车辆实测载荷谱优化处理方法研究*

doi:10.19562/j.chinasae.qcgc.2020.07.017

汽车工程 ›› 2020, Vol. 42 ›› Issue (7): 965-971.doi: 10.19562/j.chinasae.qcgc.2020.07.017

基于小波变换理论的车辆实测载荷谱优化处理方法研究^*

于佳伟¹, 钱春雷¹, 郑松林², 黄翀¹, 刘凯¹

1.上海机动车检测认证技术研究中心有限公司,上海 201805;
2.上海理工大学机械工程学院,上海 200093

收稿日期:2019-08-05 出版日期:2020-07-25 发布日期:2020-08-14
通讯作者: 于佳伟,博士,工程师,E-mail:jia_wei_yu@162.com。
基金资助:
*上海汽车工业科技发展基金(1740)和上海机动车检测认证技术研究中心课题(KY-2020-18-整、KY-2020-19-整)资助。

Research on Optimized Processing Method for Vehicle Load Spectra Measured Based on Wavelet Transform Theory

Yu Jiawei¹, Qian Chunlei¹, Zheng Songlin², Huang Chong¹, Liu Kai¹

1. Shanghai Motor Vehicle Inspection Certification & Tech Innovation Center Co., Ltd., Shanghai 201805;
2. College of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093

Received:2019-08-05 Online:2020-07-25 Published:2020-08-14

摘要/Abstract

摘要： 鉴于工程中采集到的车辆道路载荷谱易受外部环境干扰而存在噪声和异常的尖峰信号,而传统的傅里叶变换滤波方法容易将真实信号随噪声信号同时滤除,本文中研究了基于小波变换理论的车辆实测道路载荷谱降噪方法。选用Daubechies小波函数,结合多种小波阈值降噪准则对某试验车辆实测道路载荷谱进行降噪处理,系统性地研究了不同小波阈值降噪准则和小波消失矩对实测含噪随机载荷信号的降噪性能。结果表明,基于小波变换的降噪方法能有效剔除干扰噪声信号,其中Heuristic SURE准则对原载荷谱各项载荷特征的保留效果最好。此外,研究了基于小波变换理论的实测载荷谱中异常尖峰信号自动检测方法,为车辆实测道路载荷谱的优化处理提供了一定的参考。

关键词: 道路载荷谱, 小波变换, 小波阈值降噪

Abstract: In view of that vehicle road load spectra collected in engineering practices are easily disturbed by outer environment leading to noise and abnormal spike signal, while the traditional Fourier transform-based filtering method may remove true signals together with noise signals simultaneously, a denoising method for vehicle road load spectrum measured based on wavelet transform theory is studied. The Daubechies wavelet function is selected, combined with various wavelet threshold denoising criteria to conduct denoising processing on the road load spectra measured from a test vehicle and systematically study the denoising performance of different wavelet threshold denoising criteria and wavelet vanishing moments for noise-containing random load signals measured. Results show that the wavelet transform-based denoising method can effectively remove disturbing noise signals, in which Heuristic SURE criterion has the best result in retaining all load characteristics of original load spectra. In addition, an automatic inspection method for abnormal spike signals in load spectrum measured is studied based on wavelet transform theory, providing certain reference for optimized processing of vehicle road load spectra measured.

Key words: road load spectra, wavelet transform, wavelet threshold denoising

于佳伟, 钱春雷, 郑松林, 黄翀, 刘凯. 基于小波变换理论的车辆实测载荷谱优化处理方法研究^*[J]. 汽车工程, 2020, 42(7): 965-971.

Yu Jiawei, Qian Chunlei, Zheng Songlin, Huang Chong, Liu Kai. Research on Optimized Processing Method for Vehicle Load Spectra Measured Based on Wavelet Transform Theory[J]. Automotive Engineering, 2020, 42(7): 965-971.

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基于小波变换理论的车辆实测载荷谱优化处理方法研究^*

Research on Optimized Processing Method for Vehicle Load Spectra Measured Based on Wavelet Transform Theory

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