Risk Assessment of Spontaneous Combustion Coal by using Fuzzy Fault Tree Analysis in Eastern Alborz Coal Mines

Zeinab Jahanbani¹ Mohammad Ataei² Farhang Sereshki³ Farshasb Jamshasb⁴

1) PHD Candidate of Mining Engineering, Amirkabir University of Technology,Department of Mining & Metallurgical Engineering
2) Professor of Shahrood University of Technology, Faculty of Mining Engineering, Petroleum and Geophysics
3) Associate Professor of Shahrood University, Faculty of Mining Engineering, Petroleum and Geophysics
4) PHD Candidate of Mining Engineering, Shahrood University of Technology, Faculty of Mining Engineering, Petroleum and Geophysics

Publication : 2nd International Conference on New Horizons in the Engineering Science 9th August 2018 / Istanbul Turkey / Yildiz Technical University(eng2018.ir)
Abstract :
The coal spontaneous combustion in coal mines is one of the most important problems in all coal production countries. The results of coal spontaneous combustion are enormous economic losses and personal casualties, increase the temperature inside the mine, creating a problem with mine ventilation; the Consequences of coal spontaneous combustions have also led to massive environmental pollution. Thus, coal spontaneous combustions are an immediate problem to solve. The purpose of this paper was the risk assessment of spontaneous combustion based on the Fault Tree Analysis method in fuzzy environment in the coal mines, according to a review of all the latest known and credible studies about coal spontaneous combustion from around the world, many important and effective parameters were identified. Afterwards, the causes of spontaneous combustion coal were determined using FTA method. In order to assign numbers to the events, fuzzy logic and fuzzy numbers were used to assign probability weight to basic events. The Fuzzy process began with the selection of an expertise team of Eastern Alborz Coal Mines and ended with determination of the probability rate for the basic events.
Keywords : Spontaneous Combustion Coal Mines Risk Assessment Fault Tree Analysis Method (FTA) Fuzzy Logic Basic Event Top Event Minimal Cut Sets (MCS).