Study on Fire Accident of Cotton Plant Based on L-R Fuzzy Numerals

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Abstract:

A reliability analysis on fire accident was made by using the L-R fuzzy number with the function of fuzzy fault tree theory. According to the statistics of running condition of field equipment and the fuzzy information provided by expert experience, the fault tree of fire accident in the cotton plant was built, and the fuzzy probability distribution of the explosion was gained. The structural importance of each basic event also was analyzed, and the most important factors which influence the system were established. It provides a new way and means for the safety analysis of the system and preventing fire accidents.

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581-585

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July 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Zhou Xiaowei, Wang Liping, Zheng Binhui. Ecological Risk Assessment of Sediment Pollution Based on Triangular Fuzzy Member. Environmental science Vol.29 (2008), pp.3206-3212

Google Scholar

[2] Zhou Changchun. Continuous Hazard Risk Assessment Principles and Methods and in the Application in the Coal Mine Gas Disaster[D]. Beijing: China University of Mining and Technology(1995)

Google Scholar

[3] Han Da, Present Status and Countermeasure for Hazard Identification and Risk Evaluation in the Enterprises. Chemical industry and engineering progress Vol. 22 (2003), pp.766-795

Google Scholar

[4] Huang Hongzhong. A new fuzzy set approach to Mechanical System Fault Tree Analysis. Mechanical science and technology Vol.1 (1994), pp.1-7

Google Scholar

[5] Li Bing, Zhu Meilin, Chen Xiaowei. A study on Fuzzy Fault Tree Analysis Method in Application to Internal Combustion Engines Reliability. Transactions of CSICE, Vol.17 (1999), pp.63-66

Google Scholar

[6] Xiao Dan, Qin Wengui, Di Zhiqiang. A Study on Fuzzy Fault Tree Analysis Method in Application in the Coal Mine Water Disaster. Mining safety and environmental protection, Vol.33 (2006), pp.43-50

Google Scholar