期刊文献+

小波分析在路面反映谱中的应用

Application of Wavelet Analysis in Road Response Spectrum
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摘要 小波分析处理车辆振动响应信号,可有效降噪,通过路面反映谱分析路面不平度。用3阶Daubechies小波滤波器对采样信号多尺度一维小波进行分解,再对信号中的低频部分单支重构。当尺度为9时,得到降噪后的信号。该信号既维持原信号采样点数目,且时域空间具规律性,时域响应具平稳随机特征。 Vibration response signals of vehicle are processed with wavelet analysis to reduce noise efficiently, and road surface roughness is analyzed by road response spectrum. Firstly, the sampling signals are decomposed with three-level Daubechies filter by multi-scales and one-dimensional wavelet and then its low-frequency part is reconstructed. When the scale is nine, the signals can be reduced efficiently. The noise reduction signals not only maintain amount of original signals, but also get the regularity in time field and the stationary and random characteristics of response.
出处 《兵工自动化》 2004年第4期59-61,共3页 Ordnance Industry Automation
关键词 小波分析 路面反映谱 路面不平度 降噪 Wavelet analysis Road response spectrum Road surface roughness De-noising
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参考文献1

  • 1[1]GB7031-1987. 车辆振动输入-路面平度表示方法[M]. 北京: 中国标准出版社, 1987.

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