Safety diagnosis on coal mine production system based on fuzzy logic inference |
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| Authors: | Shuang-ying Wang and Hong-yan Zuo |
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| Affiliation: | [1]School of Resource and Safety Engineering, Central South University, Changsha 410083, China [2]Bussiness School, Hunan Normal University, Changsha 410081, China |
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| Abstract: | 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. |
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| Keywords: | coal mine production system safety diagnosis fuzzy logic inference |
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