| 基于改进经验模态分解法的地铁列车轮轨应变信号降噪 |
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| 引用本文： | 张绪景,雷晓燕,刘庆杰.基于改进经验模态分解法的地铁列车轮轨应变信号降噪[J].城市轨道交通研究,2018(3):44-47. |
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| 作者姓名： | 张绪景 雷晓燕 刘庆杰 |
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| 作者单位： | 中国中铁二院工程集团有限责任公司,610031,成都
华东交通大学铁路环境振动与噪声教育部工程研究中心,330013,南昌 |
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| 基金项目： | 国家自然科学基金项目，江西省优秀科技创新团队计划项目 |
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| 摘 要： | 地铁列车轮轨应变信号的采集受到诸多因素影响,存在随机白噪声,准确性较差。对此,提出一种改进的经验模态分解法用以降噪,可提高局部均值求解精度,抑制模态混叠现象。运用该法对地铁列车轮轨应变实测信号进行分析,结果表明:改进经验模态分解法能有效消除轮轨应变信号中随机白噪声的干扰和影响,对有效识别轮轨力真实信号具有重要意义。
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| 关 键 词： | 地铁轮轨力 经验模态分解法 降噪 白噪声 metro wheel/rail force EMD (empirical mode decomposition) noise reduction white noise |
Noise Reduction of Metro Wheel and Rail Strain Signal Based on Improved EMD |
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| ZHANG Xujing,LEI Xiaoyan,LIU Qingjie.Noise Reduction of Metro Wheel and Rail Strain Signal Based on Improved EMD[J].Urban Mass Transit,2018(3):44-47. |
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| Authors: | ZHANG Xujing LEI Xiaoyan LIU Qingjie |
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| Abstract: | Wheel and rail strain signal acquisition is influ-enced by various factors,in which exist many problems like the random white noise and lower accuracy.For this reason,an improved EMD method is proposed to reduce the noise,en-hance the accuracy of local mean value solution and suppress the mode mixing phenomenon. The improved EMD method is used to analyze the measured signal of the wheel/rail force of metro trains. Research results show that the improved EMD noise reduction method can effectively eliminate the random interference and influence of white noise in wheel and rail strain signal,having great practical significance for the effec-tive identification of real wheel/rail force signal. |
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