Citation: | Qing Li, Wenlong Xu, Di Zhang, Dandan Feng, Na Li. Improved Method and Application of EMD Endpoint Continuation Processing for Blasting Vibration Signals[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2019, 28(3): 428-436.doi:10.15918/j.jbit1004-0579.18070 |
[1] |
Zhang Yiping. Analysis on blasting vibration and its application[D]. Changsha:Central South University,2006. (in Chinese)
|
[2] |
Yan Z X, Peng N B, Jiang P, et al. Research about blasting vibration safety criteria[J]. Journal of China Coal Society, 2011, 36(8):1281-1284. (in Chinese)
|
[3] |
Huang N E, Shen Z, Long S R, et a1. The empirical mode decomposition and the Hilbert spectrum for non-linear and non-stationary time series analysis[C]//Proceedings of the Royal Society. London:Royal Society, 1998, 454:903-995.
|
[4] |
Senroy N, Suryanarayanan S, Ribeiro P F. An improved Hilbert-Huang method for analysis of timevarying waveforms in power quality[J]. IEEE Transactions on Power Systems, 2007, 22(4):1843-1850.
|
[5] |
Guhathakurta K, Mukherjee I, Chowdhury A R. Empirical mode decomposetion analysis of two different financial time series and their comparision[J]. Chaos, Solitons & Fractals, 2008, 37(4):1214-1227.
|
[6] |
Qi K, He Z, Zi Y. Cosine window-based boundary processing method for EMD and its application in rubbing fault diagnosis[J]. Mechanical Systems & Signal Processing, 2007, 21(7):2750-2760.
|
[7] |
Wang T, Zhang M, Yu Q, et al. Comparing the application of EMD and EEMD on time-frequency analysis of seimic signal[J]. Journal of Applied Geophysics, 2012, 83(6):29-34.
|
[8] |
Rilling G, Flandrin P, Goncalves P. On empirical mode decomposition and its algorithms[C]//IEEEEURASIP Workshop on Nonlinear Signal and Image Processing NSIP -03, Grado (I), 2003.
|
[9] |
Huang Daji, Zhao Jinping, Su Jilan. Practical implementation of the Hilbert-Huang transform algorithm[J]. Acta Oceanologica Sinica, 2003(1):1-11. (in Chinese)
|
[10] |
Deng Yongjun, Wang Wei, Qian Chengchun, et al. Boundary-processing-technique in EMD method and Hilbert transform[J]. Chinese Science Bulletin,2001, 46(11):954-961. (in Chinese)
|
[11] |
Ma J, Jiang H, Yao L, et al. Notice of retraction end effects processing of Hilbert-Huang transform based on genetic algorithm and RBF neural network[C]//IEEE International Conference on Computer Science and Information Technology, IEEE, 2010:312-316.
|
[12] |
Hu Jingsong, Yang Shixi. Application of EMD method with data extention technique based on RBF neural network to time-frequency analysis[J]. Journal of Mechanical Strength, 2007(6):894-899. (in Chinese)
|
[13] |
Liu Huiting, Zhang Min, Cheng Jiaxing. Dealing with the end issue of EMD based on polynomial fitting algorithm[J]. Computer Engineering and Application,2004,16:84-86. (in Chinese)
|
[14] |
Wang Hongjun, Fu Yao. Study of polynomial fitting technique for EMD end effect[J]. Machinery Design & Manufacture, 2010(10):197-199. (in Chinese)
|
[15] |
Cheng J, Yu D, Yang Y. Application of support vector regression machines to the processing of end effects of Hilbert-Huang transform[J]. Mechanical Systems & Signal Processing, 2007, 21(3):1197-1211.
|
[16] |
Cai Yanping, Li Aihua, Zhang Wei, et al. HHT end effect processing method based on maximum Lyapunov index boundary extension model[J]. Chinese Journal of Scientific Instrument, 2011,32(6):1330-1336. (in Chinese)
|
[17] |
Wu Z, Huang N E. A study of the characteristics of white noise using the empirical mode decomposition method[J]. Proceedings Mathematical Physical & Engineering Sciences, 2004, 460(2046):1597-1611.
|
[18] |
Yeh J R, Shieh J S. Complementary ensemble empirical mode ecomposition:a novel noise enhanced data analysis method[J]. Advances in Adaptive Data Analysis, 2010,2(2):135-156.
|
[19] |
Guan Xiaolei, Yan Jinglong. The HHT time-frequency power spectrum analysis of the blasting vibration signal[J]. Explosion and Shock Waves, 2012,32(5):535-541. (in Chinese)
|