Research on the Application of Chaos Dynamics in Coal Mine Risk Prediction

Authors

  • School of Information Engineering, Qujing Normal University, Qijing 655 011

DOI:

https://doi.org/10.18311/jmmf/2017/26986

Keywords:

Coal And Gas Outburst, Dynamic Inversion, Chaotic Time Series, Prediction.

Abstract

As an extremely complex dynamic phenomenon in coal mine, gas outburst is an urgent problem to be resolved in international mining engineering and engineering mechanics. This paper puts forward the dynamic inversion theory based on the comprehensive hypothesis of coal and gas outburst, which takes the process of coal and gas outburst as a dynamic evolution process. With the aid of chaos dynamics theory, a new prediction method for chaotic time series prediction is creatively proposed and a good fitting effect is obtained.

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Published

2017-08-01

How to Cite

Liu, K. (2017). Research on the Application of Chaos Dynamics in Coal Mine Risk Prediction. Journal of Mines, Metals and Fuels, 65(8), 467–472. https://doi.org/10.18311/jmmf/2017/26986

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Section

Articles