首页|Research on safety assessment of gas explosion hazard in heading face based on BP neural network

Research on safety assessment of gas explosion hazard in heading face based on BP neural network

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According to hazard theory and the principle of selecting assessment index,combining the causes and mechanism of gas explosion, established assessment index system of gas explosion in heading face. Based on the method of gray clustering, principle of BP neural network and characters of gas explosion in heading face, safety assessment procedural diagram of BP neural network on gas explosion hazard in heading face is designed. Meanwhile, concrete heading face of the gas explosion hazard is assessed by safety assessment method of BP neural network and grades of comprehensive safety assessment are got. The static and dynamic safety assessment can be achieved by this method. It is practical to improve safety management and to develop safety assessment technology in coalmine.

neural networksafety assessmentgas explosionhazard

TIAN Shui-cheng、ZHU Li-jun、CHEN Yong-gang、WANG Li

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School of Energy, Xi'an University of Science and Technology, Xi'an 710054, China

Guizhou University, Guiyang 550003, China

Flight Tech. & Aviation Engineering Faculty, Civil Aviation Flight University of China, Guanghan 618307, China

陕西省自然科学基金陕西省教育厅资助项目中国博士后科学基金

2001C3800J2142003034462

2005

煤炭学报(英文版)
中国煤炭学会 煤炭科学研究总院

煤炭学报(英文版)

影响因子:0.117
ISSN:1006-9097
年,卷(期):2005.11(2)
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