An Improved Method on Reducing Measurement Noise Based on Hilbert-Huang Transform

摘要：

For nonstationary signal in rock bolts detecting, an effective denoise method based on Hilbert-Huang transform (HHT) is presented, cross-correlation for denoise signal is used to estimate the length of rock bolts. At first, by empirical mode decomposition (EMD) algorithm, a sum of intrinsic mode functions (IMF) are got, and then, the IMF coefficients in useful signal dominative layer are proceeded using soft threshold method, those IMF coefficients are reconstructed, at last, cross-correlation is used to estimate the length. Compared with the traditional denoise method, the above method is better to remove measurement noise and estimate the length.

关键词： Hilbert-Huang transform HHT method cross-correlation method IMF coefficients

作者: Jiulong Cheng Xiaoyun Sun Dandan Lv Guoqing An D.H.Steve Zou

作者单位: State Key Laboratory of Coal Resources and Safe Mining China University of Mining and Technology Bei School of Electrical Engineering and Information Science Hebei University of Science & Technology Sh Dalhousie University,Halifax,Nova Scotia,Canada

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2442-2445

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）