Cutting Institutions Running State Estimation Strategy Based on Wavelet Packet Analysis Technology

Fu Zhong Wang; Xiao Ying Tian

doi:10.4028/www.scientific.net/AMM.574.696

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 574Cutting Institutions Running State Estimation...

Cutting Institutions Running State Estimation Strategy Based on Wavelet Packet Analysis Technology

Abstract:

During robotic heading machine working, it often encounters the coal seam hardness changing tremendously. So the cutting mechanism will be easy to break down. For this problem, put forward a strategy, which using wavelet packet technology to study the vibration signal of cutting mechanism. Filtered the signal with wavelet packet; extracted vibration signal characteristics; established the energy eigenvector; used the Hilbert technology to extract frequency characteristics. According to the energy eigenvector and the frequency characteristics, estimated the cutting mechanism running status. The simulation in MATLAB proves that the control strategy can estimate the running state of cutting mechanism real-time, and lay an important foundation for the realization of coal mine roadway drivage unmanned working face.

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Periodical:

Applied Mechanics and Materials (Volume 574)

Pages:

696-701

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.574.696

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Cite this paper

Online since:

July 2014

Authors:

Fu Zhong Wang*, Xiao Ying Tian

Keywords:

Cutting Machanism, Energy Feature, Hilbert, State Estimation, Wavelet Packet

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* - Corresponding Author

References

[1] Wu Nian-cong, Zhang Ying-hong, Xiang Jia-wei. Research about monitoring-diagnosis system of cutting head spindle's working condition, J. Coal mine machine, 2011. 6, Page(s): 56 – 62.

Google Scholar

[2] Li Xiao-huo, Han Yu-fei. The power spectrum analysis of the vertical axis type machine cutting head, J. Chinese Journal of Construction Machinery, 2007. 4, Page(s): 23 – 29.

Google Scholar

[3] Wu z H, Huang N E．A study of the characteristics of white noise using the empirical mode decomposition method, J. Proceedings of the Royal Society, 2004, 460(2046): 1597—1611.

DOI: 10.1098/rspa.2003.1221

Google Scholar

[4] Sugumaran V, Ramachandran K I. Automatic rule learning using decision flee for fuzzy classifier in fault diagnosis of rolling bearing, J. Mechanical Systems and Signal Processing, 2007(2l), 2237-2247.

DOI: 10.1016/j.ymssp.2006.09.007

Google Scholar

[5] Fan Yong-sheng. Modern signal processing methods for the diagnosis of mechanical equipment, M. National Defence Industry Press, 2009. 5, Page(s): 455 – 473.

Google Scholar

[6] Yu Zhi-wei, Su Bao-ku, Zeng Ming. Wavelet packet analysis technology in the application of the large motor rotor fault diagnosis system, J. Proceedings of the CSEE, 2005. 11, Page(s): 102 – 104.

Google Scholar