比较故障树分析法与广义灰色关系分析法:汽车行业的新方法和案例研究

J.L. Shi, Z.C. Lu, H.H. Xu, M.M. Ren, F.L. Shu
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引用次数: 0

摘要

随着产品结构的精密化和复杂化,产品的故障模式逐渐呈现出多样化的趋势。在复杂系统的故障诊断中,故障树分析和广义灰色关系分析相结合的方法被广泛应用。在本研究中,我们采用了故障树分析和广义灰色关系分析相结合的方法。该方法被用于诊断汽车车门的膨胀粘合剂脱胶故障。然后,我们分析并比较了实际故障诊断结果的差异。比较涉及三种分析方法:故障树分析与绝对灰色关联分析相结合(F-AGRA)、故障树分析与相对灰色关联分析相结合(F-RGRA)和故障树分析与综合灰色关联分析相结合(F-CGRA)。随后,我们将研究结果与实际生产结果进行比较。通过比较,我们可以讨论这三种方法在复杂系统故障诊断中的区别。我们还讨论了这些方法的应用场合。这项研究将为汽车制造业实际生产中的故障分析和故障诊断提供一种新方法。这种方法可以有效、准确地排除故障,提高产品质量和生产率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing Fault Tree Analysis methods combined with Generalized Grey Relation Analysis: A new approach and case study in the automotive industry
The failure modes of products gradually show a diversified trend with the precision and complexity of the product structure. The combination of fault tree analysis and generalized grey relational analysis is widely used in the fault diagnosis of complex systems. In this study, we utilize a method that combines fault tree analysis and generalized grey relational analysis. This method is applied to diagnose the Expansion Adhesive Debonding fault of automobile doors. Then, we analyse and compare the differences in actual fault diagnosis results. The comparison involves three analysis methods: Fault Tree Analysis combined with Absolute Grey Relation Analysis (F-AGRA), Fault Tree Analysis combined with Relative Grey Relation Analysis (F-RGRA), and Fault Tree Analysis combined with Comprehensive Grey Relation Analysis (F-CGRA). Subsequently, we compare the findings with actual production results. This comparison allows us to discuss the differences between the three methods in the fault diagnosis of complex systems. We also discuss the application occasions of these methods. This study will provide a new method for fault analysis and fault diagnosis in the actual production of the automobile manufacturing industry. This method can eliminate faults effectively and accurately and improve product quality and productivity.
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