Coal-rock interface recognition method based on EMD and neural network

Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis

Volumn 32, Issue 4, 2012, Pages 586-590

  Wang, Baoping ^a   Wang, Zengcai ^a   Zhang, Wanzhi ^a  

^a SHANDONG UNIVERSITY   (China)

Author keywords

Coal rock interface recognition; Empirical mode decomposition (EMD); Neural network; Top coal caving

Indexed keywords

CHARACTERISTIC PARAMETER; COAL-ROCK INTERFACE RECOGNITION; CREST FACTORS; EMPIRICAL MODE DECOMPOSITION; FEATURE VECTORS; HYDRAULIC SUPPORT; IDENTIFICATION RATES; INTRINSIC MODE FUNCTIONS; ORIGINAL SIGNAL; RECOGNITION METHODS; TOP-COAL CAVING; VIBRATION SIGNAL;

COAL; NEURAL NETWORKS; ROCKS;

SIGNAL PROCESSING;

EID: 84867666780     PISSN: 10046801     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)

1. Ren Fang, Yang Zhaojian, Xiong Shibo. Study on the coal-rock interface recognition method based on multi-sensor data fusion technique [J]. Chinese Journal of Mechanical Engineering, 2003, 16(3): 321-324.
2. Lian Zisheng, Liu Hunju, Li Wenying. Study on the coal-rock interface recognition based on the responses of shearer's cutting force [J]. Shanxi Machinery, 1999, 2: 25-27. (in Chinese)
3. Zhao Shuanfeng. Coal-rock interface recognition based on multi wavelet packet energy [J]. Journal of Xi'an University of Science and Technology, 2009, 29(5): 584-588. (in Chinese)
4. Ren Fang, Yang ZhaoJian, Xiong Shibo, et al. Application of wavelet packet decomposition and its energy spectrum on the coal-rock interface identification [J]. Journal of Coal Science and Engineering, 2003, 9(1): 109-112.
5. Ren Fang, Liu Zhengyan, Yang Zhaojian, et al. Application study on the torsional vibration test in coal-rock interface recognition[J]. Journal of Taiyuan University of Technology, 2010, 41(1): 94-96. (in Chinese)
6. Liang Yiwei, Xiong Shibo. Forecast of coal-rock interface based on neural network and dempster-shafter theory [J]. Journal of China Coal Society, 2003, 28(1): 86-90. (in Chinese)
7. Wang Zengcai, Wang Rulin, Xu Jianhua. Research on coal seam thickness detection by natural Gamma ray in shearer horizon control [J]. Journal of China Coal Society, 2002, 27(4): 425-429. (in Chinese)
8. Qin Jianqiu, Men Huirong. Establishent of a theoretical model of sensor for identification of coal and rock interface by natural γray and underground trials [J]. Journal of China Coal Society, 1996, 21(5): 513-516. (in Chinese)
9. Zhang Junmei, Fan Xun, Zhao Xuesong. Automatic horizon control system of coal mining machine [J]. Journal of China University of Mining & Technology, 2002, 31(4): 415-418. (in Chinese)
10. Sun Jiping. Study on identified method of coal and rock interface based on image identification [J]. Coal Science and Technology, 2011, 39(9): 77-79. (in Chinese)
11. Cheng Junsheng, Yu Dejie, Yang Yu. Application of EMD to local rub-impact fault diagnosis in rotor systems [J]. Journal of Vibration, Measurement & Diagnosis, 2006, 26(1): 24-27. (in Chinese)
12. Xia Tian, Wang Xinqing, Xiao Yunkui, et al. Feature extraction from crank-shaft bearing fault of diesel engine using empirical mode decomposition and auto regressive model spectrum technology [J]. Journal of Vibration, Measurement & Diagnosis, 2010, 30(3): 318-321. (in Chinese)
13. Huang N E, Shen Z, Long S, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis [J]. Proceeding of the Royal Society, 1998, 454(1971): 903-995.
14. 2007: 22-25.
15. 2009: 92-108.