定量FTA分析降低制造设备故障概率

Marián Bujna, Miroslav Prístavka, Chia Kuang Lee, Andrzej Borusiewicz, Waldemar Samociuk, Ivan Beloev, Urszula Malaga-Toboła
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引用次数: 0

摘要

故障树分析是一种直接关注故障模式的方法。故障描述图是产品的主要故障或关键故障、故障原因和应对措施的图形表示。本研究的目的是利用自由贸易协定(FTA)来计算过程中顶级事件失败的概率,并提出一种技术来优先考虑行动设计的因素,并根据制造商的要求降低顶级事件失败的可能性。我们已经构建了一个定性故障树,以生产办公组件包装和密封在吸塑包装使用科赫公司的kbps - pl机器。我们定义的顶级事件G -生产办公部件,包装和密封在吸塑包装上的机器KOCH kbps - pl。然后我们将导致顶级事件的事件定义为单个失败因素。基于故障树与故障概率之间的联系,我们进行了定量分析,以确定单个事件的故障概率。我们发现G的失效概率为5.04%。随后,我们确定了哪些因素最显著地降低了因素g的失效概率,这些因素是:E -进料速率,F -冷却,AL -不正确设置和D -断裂。实验证明,控制这4个因素,只要采取有效措施,可以将顶事件G的失效概率降低到2.36%。最终的方案满足了多家制造商对快速、高效、经济的解决方案的要求。我们已经创建了一个提案,节省时间,有最小的软件和硬件要求,并易于使用。该建议的效率和有效性在于,我们确定了故障树中最薄弱的点,这些点最明显地导致了顶部事件的失败。这优先考虑了设计措施的因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reducing the Probability of Failure in Manufacturing Equipment by Quantitative FTA Analysis
Abstract Fault Tree Analysis (FTA) is a method that directly focuses on the modes of failures. The FTA is a graphical representation of the major faults or critical failures associated with a product, as well as the causes for the faults and potential countermeasures. The aim of this research paper is to calculate the probability of the top event – the failure of the process using FTA and propose a technique to prioritize factors for action design and reduce the likelihood of a top event failure based on manufacturers' requirements. We have constructed a qualitative fault tree to produce office components packed and sealed in blister packs using a KOCH KBS-PL machine. We defined the top event G – the production of office components, packed and sealed in blister packs on the machinery KOCH KBS-PL. Then we defined events leading to top events down to individual failure factors. Based on the links between the fault tree and the probability of failure, we performed a quantitative analysis to determine the probability of failure of individual events. We found out that the probability of failure of G is 5.04%. Subsequently, we identified which factors most significantly reduce the resulting probability of failure of factor G. These are the factors: E – feed rate, F – cooling, AL – incorrect setting and D – break. It has been proven that by controlling these 4 factors, we can reduce the probability of failure of top event G to 2.36%, provided that effective measures are taken. The final proposal meets the requirements of several manufacturers for a fast, efficient, and cost-effective solution. We have created a proposal that saves time, has minimal software and hardware requirements, and is easy to use. The efficiency and effectiveness of the proposal was that we identified the weakest points in the fault tree that most significantly cause the top event to fail. This prioritized the factors for the design of the measures.
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