A Novel Application of Variable Fuzzy Set on Alarming of Coalmine Gas

Author

Zhao Jinhui ; Li Mingliang ; Qian Xu ; Jia Lijuan

Author_Institution

Sch. of Mech. Electron. & Inf. Eng., China Univ. of Min. & Technol., Beijing, China

Volume

2

fYear

2009

fDate

4-5 July 2009

Firstpage

40

Lastpage

43

Abstract

A novel alarming assessment model of coalmine gas is presented in this paper. Based on the information fusion technique of multi-sensor, we introduce the thought of variable fuzzy set to assess complicated and risk coalmine gas. Through information fusion we can get more effective and reliable data about coalmine gas. The method for variable fuzzy set theory can reasonable identify the relative membership degree between the sample indexes and standard interval of each level index, and reasonably determine the evaluation of each sample by varying the model and its parameters. The numerical examples show that the proposed method is feasible and effective, and the evaluation results are reasonable.

Keywords

coal; fuzzy set theory; industrial accidents; mining; production engineering computing; sensor fusion; alarming assessment model; coalmine gas accidents; coalmine gas disaster; information fusion technique; variable fuzzy set; Alarm systems; Concrete; Fuses; Fuzzy set theory; Fuzzy sets; Information security; Monitoring; Production; Safety; Sensor phenomena and characterization; Alarming assessment; Coalmine gas; Information fusion; Variable fuzzy set;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3682-8

Type

conf

DOI

10.1109/ESIAT.2009.395

Filename

5199829