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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

机译:结合VB程序的模糊故障树分析识别和评估煤尘爆炸危险的新方法。

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摘要

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.
机译:煤尘爆炸(CDE)是对煤矿工人职业安全的主要威胁之一。为了识别和评估CDE的风险,本文提出了一种与Visual Basic(VB)程序相结合的模糊故障树分析的新方法。在这种方法中,确定了CDE的各种潜在原因,并构建了CDE故障树。为了克服基本事件缺少精确概率数据的缺点,采用模糊集理论,并将每个基本事件的概率数据视为直觉梯形模糊数。此外,本文还介绍了一种计算每个专家权重的新方法,以减少专家启发过程中的误差。具体而言,对模糊故障树进行了深入的定量分析,例如基本事件和割集的重要性度量以及CDE发生概率,以评估爆炸风险并获取CDE的更多详细信息。使用VB程序可以简化分析过程。通过案例分析,说明了该方法的有效性,并提出了一些建议,应提前采取预防措施,避免发生CDE事故。

著录项

  • 期刊名称 other
  • 作者单位
  • 年(卷),期 -1(12),8
  • 年度 -1
  • 页码 e0182453
  • 总页数 15
  • 原文格式 PDF
  • 正文语种
  • 中图分类
  • 关键词

  • 入库时间 2022-08-21 11:09:11

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