Forecasting shield pressures at a longwall face using artificial neural networks

被引：13

作者：

Deb, Debasis ^{[1
]}

Kumar, Akshay ^{[1
]}

Rosha, Rajat ^{[1
]}

机构：

[1] IIT, Dept Min Engn, Kharagpur 721302, W Bengal, India

来源：

GEOTECHNICAL AND GEOLOGICAL ENGINEERING | 2006年 / 24卷 / 04期

关键词：

artificial neural networks; forecasting; longwall mining; peak selection; shield pressures;

D O I：

10.1007/s10706-005-4430-6

中图分类号：

P5 [地质学];

学科分类号：

0709 ; 081803 ;

摘要：

Leg pressure data from all shields of a longwall face are monitored and recorded in the surface computer. An algorithm is developed to detect peak pressures or periodic roof weightings from these pressure data. The intensities and locations of periodic roof weighting are further analyzed using artificial neural network for forecasting of forthcoming shield pressures. The network was trained using data 153 m (500 ft) of face advance. Shield pressures are forecasted for the successive nine mining cycles or approximately 9 m of face advancement. The results obtained validate the efficacy of the developed model.

引用

页码：1021 / 1037

页数：17