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Reliability assessment of flue gas turbines based on fuzzy fault tree analysis

机译：基于模糊故障树分析的烟气汽轮机可靠性评估

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Fault tree analysis (FTA) is a traditional tool used to evaluate the reliability of a system without considering the fuzziness and randomness of basic events. A new methodology, called fuzzy FTA (FFTA), is applied in this study to evaluate the reliability of flue gas turbines. The failure of flue gas turbines is determined as a top event and then a fault tree is constructed. The fuzzy probabilities of basic events are obtained based on historical malfunction data and expert experience. For qualitative analysis, 31 minimum cut sets are obtained. For quantitative analysis, the fuzzy failure probability of the top event is evaluated. The reliability of flue gas turbines is found to be about 0.8318, and the most important influencing factors are catalyst dust accumulation and blade wear. The study demonstrates that FFTA has great feasibility and adaptability in the reliability assessment of flue gas turbines.
机译：故障树分析（FTA）是一种用于评估系统的可靠性的传统工具，而无需考虑基本事件的模糊性和随机性。 在本研究中应用了一种被称为模糊FTA（FFTA）的新方法，以评估烟气涡轮机的可靠性。 烟道燃气轮机的故障被确定为顶部事件，然后构造故障树。 基于历史故障数据和专家体验获得基本事件的模糊概率。 对于定性分析，获得了31个最小切割集。 为了定量分析，评估顶部事件的模糊失效概率。 发现烟气涡轮机的可靠性约为0.8318，最重要的影响因素是催化剂粉尘积聚和叶片磨损。 该研究表明，FFTA在烟气涡轮机的可靠性评估中具有很大的可行性和适应性。

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