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Published in: Geotechnical and Geological Engineering 4/2020

14-02-2020 | Original Paper

Prediction of Destroyed Floor Depth Based on Principal Component Analysis (PCA)-Genetic Algorithm (GA)-Support Vector Regression (SVR)

Authors: Weifu Gao, Jin Han

Published in: Geotechnical and Geological Engineering | Issue 4/2020

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Abstract

In order to prevent water inrush from working face floor, it is an urgent problem to predict destroyed floor depth. In this paper, based on the collected samples of floor failure depth of north China type coal fields, the factors that influence the development of floor failure depth were obtained by principal component analysis(PCA), that is, mine pressure, working face information, tectonic conditions, lithology, and sedimentary conditions of coal seam. Then, the parameters of support vector regression (SVR) were optimized by genetic algorithm (GA), the PCA-GA-SVR prediction model of floor failure depth was established, we put the last 4 samples into the model and verified its excellent generalization ability. Finally, we applied the PCA-GA-SVR model to the floor failure depth prediction of Zhaizhen coal mine, comparing the predicted value of the model with the field measured value using double side seal borehole water injection device, the effectiveness of the model was demonstrated.

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Literature
go back to reference Chang J, Qiu H, Ye Y (2013) Research on wave-field transformation and data processing of mine transient electromagnetic method. J China Coal Soc 38(9):1646–1650 (in Chinese) Chang J, Qiu H, Ye Y (2013) Research on wave-field transformation and data processing of mine transient electromagnetic method. J China Coal Soc 38(9):1646–1650 (in Chinese)
go back to reference Hu W, Zhu K, Huang M (2010) Study on floor rock mass failure and water inrush caused by non-uniform distributed water pressure in mining face. J China Coal Soc 35(7):1109–1114 (in Chinese) Hu W, Zhu K, Huang M (2010) Study on floor rock mass failure and water inrush caused by non-uniform distributed water pressure in mining face. J China Coal Soc 35(7):1109–1114 (in Chinese)
go back to reference Li J (2011) Study on parameter optimization of support vector machine. Mas. thesis, Huazhong University of Science and Technology, Wuhan, China, pp 27–30 Li J (2011) Study on parameter optimization of support vector machine. Mas. thesis, Huazhong University of Science and Technology, Wuhan, China, pp 27–30
go back to reference Li L, Wen G, Wang R (2008) Parameter selection method of support vector regressive based on genetic algorithms. Comput Eng Appl 44(7):23–26 (in Chinese) Li L, Wen G, Wang R (2008) Parameter selection method of support vector regressive based on genetic algorithms. Comput Eng Appl 44(7):23–26 (in Chinese)
go back to reference Li J, Zhang L, Tang T (2013a) Data acquisition algorithms based on GA-SVR. J Guilin Univ Electron Technol 33(5):379–383 (in Chinese) Li J, Zhang L, Tang T (2013a) Data acquisition algorithms based on GA-SVR. J Guilin Univ Electron Technol 33(5):379–383 (in Chinese)
go back to reference Li J, Xu Y, Xie X (2015a) Influence of mining height on coal seam floor failure depth. J China Coal Soc 40(supplement):1109–1114 (in Chinese) Li J, Xu Y, Xie X (2015a) Influence of mining height on coal seam floor failure depth. J China Coal Soc 40(supplement):1109–1114 (in Chinese)
go back to reference Liu S, Li Y (2007) Study on parameter selection of adaptive GA-SVM. J Harbin Eng Univ 28(4):398–402 (in Chinese) Liu S, Li Y (2007) Study on parameter selection of adaptive GA-SVM. J Harbin Eng Univ 28(4):398–402 (in Chinese)
go back to reference Liu B, Liang B (2011) Prediction of seam floor water inrush based on combining principal component analysis and support vector regression. Coal Geol Explor 39(1):29–35 (in Chinese) Liu B, Liang B (2011) Prediction of seam floor water inrush based on combining principal component analysis and support vector regression. Coal Geol Explor 39(1):29–35 (in Chinese)
go back to reference Liu Z, Jin D, Liu Q (2009) Prediction of water inrush through coal floor based on binary logistic regression model and CART. Coal Geol Explor 7(1):56–61 (in Chinese) Liu Z, Jin D, Liu Q (2009) Prediction of water inrush through coal floor based on binary logistic regression model and CART. Coal Geol Explor 7(1):56–61 (in Chinese)
go back to reference National Coal Industrial Bureau (2008) Rules for coalmining relating to building, water body railway and main tunnel. China Coal Industry Publishing House, Beijing, pp 19–23 National Coal Industrial Bureau (2008) Rules for coalmining relating to building, water body railway and main tunnel. China Coal Industry Publishing House, Beijing, pp 19–23
go back to reference Shi L, Han J (2004) Floor water inrush mechanism and prediction. China University of Mining and Technology Press, Xuzhou, pp 3–10 (in Chinese) Shi L, Han J (2004) Floor water inrush mechanism and prediction. China University of Mining and Technology Press, Xuzhou, pp 3–10 (in Chinese)
go back to reference Wu J, Yang S, Liu C (2009) Support vector machine short-term load forecasting method based on GA optimizing parameters. J Central South Univ (Nat Sci Ed) 40(1):180–184 (in Chinese) Wu J, Yang S, Liu C (2009) Support vector machine short-term load forecasting method based on GA optimizing parameters. J Central South Univ (Nat Sci Ed) 40(1):180–184 (in Chinese)
go back to reference Yin H, Lefticariu L, Wei J (2016) A multi-method approach for estimating the failure depth of coal seam floor in a longwall coal mine in China. Geotech Geol Eng 34:1267–1281 (in Chinese) CrossRef Yin H, Lefticariu L, Wei J (2016) A multi-method approach for estimating the failure depth of coal seam floor in a longwall coal mine in China. Geotech Geol Eng 34:1267–1281 (in Chinese) CrossRef
go back to reference Yu X (2011) Study on broken depth of damage floor. Ph.D. thesis, Shandong University Science and Technology, Qingdao, China, pp 13–17 Yu X (2011) Study on broken depth of damage floor. Ph.D. thesis, Shandong University Science and Technology, Qingdao, China, pp 13–17
go back to reference Zhang R, Jiang Z, Li X (2013) Study on the failure depth of thick seam floor in deep mining. J China Coal Soc 38(1):67–72 (in Chinese) Zhang R, Jiang Z, Li X (2013) Study on the failure depth of thick seam floor in deep mining. J China Coal Soc 38(1):67–72 (in Chinese)
go back to reference Zhang P, Yan W, Zhang W (2016) Mechanism of water inrush due to damage of floor and fault activation induced by mining coal seam with fault defects under fluid-solid coupling mode. Chin J Geotech Eng 38(5):877–889 (in Chinese) Zhang P, Yan W, Zhang W (2016) Mechanism of water inrush due to damage of floor and fault activation induced by mining coal seam with fault defects under fluid-solid coupling mode. Chin J Geotech Eng 38(5):877–889 (in Chinese)
Metadata
Title
Prediction of Destroyed Floor Depth Based on Principal Component Analysis (PCA)-Genetic Algorithm (GA)-Support Vector Regression (SVR)
Authors
Weifu Gao
Jin Han
Publication date
14-02-2020
Publisher
Springer International Publishing
Published in
Geotechnical and Geological Engineering / Issue 4/2020
Print ISSN: 0960-3182
Electronic ISSN: 1573-1529
DOI
https://doi.org/10.1007/s10706-020-01227-3

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