Abstract
The paper focuses on chaotic time series analysis and its applications, consisting of three parts: reconstructed phase space; identification of the chaotic features of a time series, and time series prediction based on the phase space reconstructed. Based on the main shaft water inrush time series of the Wutongzhuang mine in China, a two-month of time delay for reconstruction of phase space could be obtained when calculating using autocorrelation function with an initial value of 1- 1/e. Mine water inrush time series model is established by Weighed first-order partial domain forecast method based on the reconstruction of phase space, and used for forecast of mine water inrushes. Results show the forecasting with a higher precision.
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ACKNOWLEDGEMENTS
This work was supported by a grant awarded by National Natural Science Foundation of China (NSFC) grant (40472146, 41372342).
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Yongguo, Y., Yuhua, C., Qiuming, C. (2016). Study on Chaotic Time Series and Its Application on Forecasting Water Inrush in Mines. In: Raju, N. (eds) Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment. Springer, Cham. https://doi.org/10.1007/978-3-319-18663-4_16
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DOI: https://doi.org/10.1007/978-3-319-18663-4_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-18662-7
Online ISBN: 978-3-319-18663-4
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