Anzeige
Erschienen in:
2016 | OriginalPaper | Buchkapitel
16. Study on Chaotic Time Series and Its Application on Forecasting Water Inrush in Mines
verfasst von : Yang Yongguo, Chen Yuhua, Cheng Qiuming
Erschienen in: Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
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.