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Risk Assessment in Underground Coalmines Using Fuzzy Logic in the Presence of Uncertainty
Abstract Fatal accidents are occurring every year as regular events in Indian coal mining industry. To increase the safety conditions, it has become a prerequisite to performing a risk assessment of various operations in mines. However, due to uncertain accident data, it is hard to conduct a risk assessment in mines. The object of this study is to present a method to assess safety risks in underground coalmines. The assessment of safety risks is based on the fuzzy reasoning approach. Mamdani fuzzy logic model is developed in the fuzzy logic toolbox of MATLAB. A case study is used to demonstrate the applicability of the developed model. The summary of risk evaluation in case study mine indicated that mine fire has the highest risk level among all the hazard factors. This study could help the mine management to prepare safety measures based on the risk rankings obtained.
Risk Assessment in Underground Coalmines Using Fuzzy Logic in the Presence of Uncertainty
Abstract Fatal accidents are occurring every year as regular events in Indian coal mining industry. To increase the safety conditions, it has become a prerequisite to performing a risk assessment of various operations in mines. However, due to uncertain accident data, it is hard to conduct a risk assessment in mines. The object of this study is to present a method to assess safety risks in underground coalmines. The assessment of safety risks is based on the fuzzy reasoning approach. Mamdani fuzzy logic model is developed in the fuzzy logic toolbox of MATLAB. A case study is used to demonstrate the applicability of the developed model. The summary of risk evaluation in case study mine indicated that mine fire has the highest risk level among all the hazard factors. This study could help the mine management to prepare safety measures based on the risk rankings obtained.
Risk Assessment in Underground Coalmines Using Fuzzy Logic in the Presence of Uncertainty
Tripathy, Debi Prasad (author) / Ala, Charan Kumar (author)
Journal of The Institution of Engineers (India): Series D ; 99 ; 157-163
2018-01-30
7 pages
Article (Journal)
Electronic Resource
English
Fire detection in underground coalmines
British Library Conference Proceedings | 2007
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