DocumentCode
507233
Title
Intelligent Fuzzy Sensing System in Coal Mine Safety Monitoring
Author
Fu, Hua ; Wang, Tao ; Yang, Cui
Author_Institution
Fac. of Electr. & Eng. Control, Liaoning Tech. Univ., Huludao, China
Volume
6
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
306
Lastpage
310
Abstract
The environment is complex and the parameters are difficult to measure accurately in coal mine, so fuzzy theory and neural network technology were applied to structure intelligent fuzzy neural network sensor system in the areas of coal mine safety monitoring, which had a research focus on the formation and training of intelligent fuzzy sensor system membership function network samples and fuzzy inference network samples based on RBF neural networks. Fuzzy neural network technology can make accurate detection to complex parameters in coal mine, and transform the numerical output of traditional numerical measurement system into the language description output, which provides a powerful technical support for coal mine safety monitoring system. Simulation results show that the method provides a new way of thinking for coal mine safety monitoring, and it is effective very much.
Keywords
coal; fuzzy neural nets; fuzzy reasoning; mining; monitoring; radial basis function networks; safety; RBF neural networks; coal mine safety monitoring; fuzzy inference network samples; intelligent fuzzy neural network sensor system; language description output; numerical measurement system; Fuzzy neural networks; Fuzzy systems; Intelligent networks; Intelligent sensors; Intelligent structures; Intelligent systems; Monitoring; Neural networks; Safety; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3735-1
Type
conf
DOI
10.1109/FSKD.2009.46
Filename
5359854
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