Bayesian network based on FTA for safety evaluation on coalmine haulage system

Authors:
Wensheng Liu;Liwen Guo;Ming Zhu
Affiliations:
College of Resources and Environment, Hebei Polytechnic University, Tangshan, China;College of Resources and Environment, Hebei Polytechnic University, Tangshan, China;College of Resources and Environment, Hebei Polytechnic University, Tangshan, China
Venue:
ICICA'10 Proceedings of the First international conference on Information computing and applications
Year:
2010

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Abstract

Safety evaluation is one of the most effective countermeasures to improve the safety in enterprises. Bayesian network based on FTA is a new safety evaluation method. On the basis of FTA, combining with the advantages of Bayesian network, the new method relax the harsh conditions of FTA which make it used in a wider area. This method is applied to the safety evaluation of underground haulage system in one mining area of Kailuan Coal Group Corporation Ltd. Through the result of the analysis we point out the most important factors influencing the safety state. The corresponding countermeasures are put forward too. The evaluation result indicates that this method is easy and can be popularized.