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A novel method of fuzzy fault tree analysis combined with VB program to identify and assess the risk of coal dust explosions

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  • Hetang Wang
  • Jia Li
  • Deming Wang
  • Zonghou Huang

Abstract

Coal dust explosions (CDE) are one of the main threats to the occupational safety of coal miners. Aiming to identify and assess the risk of CDE, this paper proposes a novel method of fuzzy fault tree analysis combined with the Visual Basic (VB) program. In this methodology, various potential causes of the CDE are identified and a CDE fault tree is constructed. To overcome drawbacks from the lack of exact probability data for the basic events, fuzzy set theory is employed and the probability data of each basic event is treated as intuitionistic trapezoidal fuzzy numbers. In addition, a new approach for calculating the weighting of each expert is also introduced in this paper to reduce the error during the expert elicitation process. Specifically, an in-depth quantitative analysis of the fuzzy fault tree, such as the importance measure of the basic events and the cut sets, and the CDE occurrence probability is given to assess the explosion risk and acquire more details of the CDE. The VB program is applied to simplify the analysis process. A case study and analysis is provided to illustrate the effectiveness of this proposed method, and some suggestions are given to take preventive measures in advance and avoid CDE accidents.

Suggested Citation

  • Hetang Wang & Jia Li & Deming Wang & Zonghou Huang, 2017. "A novel method of fuzzy fault tree analysis combined with VB program to identify and assess the risk of coal dust explosions," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    • Handle: RePEc:plo:pone00:0182453
    DOI: 10.1371/journal.pone.0182453
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    References listed on IDEAS

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    1. Wong Jee Keen Raymond & Hazlee Azil Illias & Ab Halim Abu Bakar, 2017. "Classification of Partial Discharge Measured under Different Levels of Noise Contamination," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-20, January.
    2. Zhao, Jing & Wang, Lisha, 2015. "Pricing and retail service decisions in fuzzy uncertainty environments," Applied Mathematics and Computation, Elsevier, vol. 250(C), pages 580-592.
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