Research on mechanisms of roof pressure prediction

Xuan Chi Zhou*, Chun Hua Bai, Da Chao Lin, Zhong Qi Wang

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

3 引用 (Scopus)

摘要

An intelligent recognizing method of coal mining roof pressure real-time prediction was presented, based on SVM(support vector machine) which has good generalization ability and adaptive multi-mode control algorithm of adaptive characteristics. Firstly, the measured roof pressure data was processed with adaptive algorithm, and a set of intrinsic mode functions(IMF) was obtained based on the empirical mode decomposition(EMD). Then mechanical research was conducted on those IMF. Finally, regression prediction was carried out using SVM. The application example shows that this model can reflect the regular changes of roof pressure, obtain satisfactory prediction results and can meet the needs of safe production.

源语言英语
页(从-至)299-303
页数5
期刊Meitan Xuebao/Journal of the China Coal Society
36
SUPPL. 2
出版状态已出版 - 9月 2011

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Zhou, X. C., Bai, C. H., Lin, D. C., & Wang, Z. Q. (2011). Research on mechanisms of roof pressure prediction. Meitan Xuebao/Journal of the China Coal Society, 36(SUPPL. 2), 299-303.