Safety diagnosis on coal mine production system based on fuzzy logic inference

被引：0
|
作者：
王爽英 [1 ,2 ]
左红艳 [1 ]
机构：
[1] School of Resource and Safety Engineering, Central South University
[2] Bussiness School, Hunan Normal University
来源：
Journal of Central South University | 2012年 / 19卷 / 02期
关键词：
coal mine production system; safety diagnosis; fuzzy logic inference;
D O I：
暂无
中图分类号：
TD79 [劳动安全]; TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 081903 ; 0835 ; 1405 ;
摘要：
According to the randomness and uncertainty of information in the safety diagnosis of coal mine production system (CMPS), a novel safety diagnosis method was proposed by applying fuzzy logic inference method, which consists of safety diagnosis fuzzifier, defuzzifier, fuzzy rules base and inference engine. Through the safety diagnosis on coal mine roadway rail transportation system, the result shows that the unsafe probability is about 0.5 influenced by no speed reduction and over quick turnout on roadway, which is the most possible reason leading to the accident of roadway rail transportation system.
引用
收藏
页码：477 / 481
页数：5
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