DocumentCode
498351
Title
A Gas Outburst Prediction Algorithm Based on Choquet Fuzzy Integral
Author
Ma, Qinglin
Author_Institution
Sch. of Inf. & Electr. Eng., China Univ. of Min. & Technol., Xuzhou, China
Volume
3
fYear
2009
fDate
19-21 May 2009
Firstpage
3
Lastpage
7
Abstract
Since most existing gas monitoring methods depend on the measurement of single sensor, it is difficult to predict gas outburst accurately for the whole mining area. To deal with the problem, a gas outburst prediction algorithm based on the Choquet fuzzy integral is presented. The fuzzy Choquet integral algorithm is used to estimate the whole concentration of gas considering gas concentration and the importance in different locations. In order to reduce the computation burden, q - measure is adopted and the solution to parameter lambda in Choquet fuzzy integral is achieved iteratively. Simulation shows the efficiency of the proposed algorithm.
Keywords
coal; fuzzy set theory; gas sensors; integral equations; mining industry; monitoring; prediction theory; Choquet fuzzy integral; coal mine; gas concentration; gas monitoring methods; gas outburst prediction algorithm; sensor; Electromagnetic radiation; Face detection; Gas detectors; Iterative algorithms; Machine learning algorithms; Monitoring; Prediction algorithms; Prediction methods; Production; Q measurement; Choquet fuzzy integral; Data fusion; Gas outburst; q- measure;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location
Xiamen
Print_ISBN
978-0-7695-3571-5
Type
conf
DOI
10.1109/GCIS.2009.361
Filename
5209218
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