EMD-wavelet filtering based on cross-validation and its application in bridge dynamic monitoring
WU Jie 1 HU Xia-min 2 QIAO Yan 1 YU Teng 1 ZHU Shao-qi 1 MA Jing 1
1. School of Civil Engineering and Architecture，Su Qian College，Suqian Jiangsu 223800，China；
2. College of Civil Engineering Nanjing University of Technology，Nanjing 200215，China
In order to filter out noise, an improved EMD-wavelet filtering method based on cross-validation is proposed in the bridge dynamic displacement monitoring. At first the signal is decomposed with the EMD-wavelet method, and then we calculate the dominant component of the noise with cross-validation method adaptively, and finally the dominant component of noise is filtered with the wavelet threshold; It is very critical selecting the function of thresholds, and so this paper proposes a new threshold function calculation method; Finally we reconstruct the signal. Example analysis shows that the method can more effectively filter out noise and puts forward the bridge vibration information, and it is a highly efficient de-noising method.
吴杰1，胡夏闽2，乔燕1，余腾1，朱绍奇1，马静1. 基于交叉证认的EMD小波滤波在大桥动态监测去噪中的应用[J]. 振动与冲击, 2017, 36(22): 212-217.
WU Jie 1 HU Xia-min 2 QIAO Yan 1 YU Teng 1 ZHU Shao-qi 1 MA Jing 1. EMD-wavelet filtering based on cross-validation and its application in bridge dynamic monitoring. JOURNAL OF VIBRATION AND SHOCK, 2017, 36(22): 212-217.
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