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Part Average Analysis - A Tool for Reducing Failure Rates in Automotive Electronics

机译:零件平均分析-降低汽车电子故障率的工具

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摘要

As the complexity of technical systems increases, it is a matter of course that the quality requirements made on the assemblies, modules and components which are used increase as well. The Part Average Analysis (PAA) reveals a software-based methodical approach which can be used to improve the reliability and availability of technical functions in an efficient manner. The PAA is used to observe anomalies in functions or parameters to measure during the production process, reliably indicating a concealed defect. Components with a high risk of failure are rejected and are not installed in the vehicle (prevention). In this paper, the method will be presented, the mathematical model explained and experiences with automotive suppliers will be reported.
机译:随着技术系统的复杂性增加,理所当然的是,对所使用的组件,模块和组件的质量要求也随之增加。零件均值分析(PAA)显示了一种基于软件的方法,该方法可用于以有效方式提高技术功能的可靠性和可用性。 PAA用于观察生产过程中要测量的功能或参数异常,从而可靠地表明存在隐患。具有高故障风险的组件将被拒绝,并且不会安装在车辆中(预防措施)。在本文中,将介绍该方法,说明数学模型,并报告与汽车供应商的经验。

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