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Risk Assessment Study of Copper Pillar Structure by using Bayesian Networks

机译：贝叶斯网络的铜柱结构风险评估研究

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摘要

Risk Assessment is a mandatory step in product development phase to ensure its Quality and Reliability. For a structural assessment, Finite Element Analysis (FEA) is used commonly in order to know where to be assessed or to judge certain part can be withstood in terms of mechanical stress intensity. FEA results predict some mechanical weak area and/or reliable life time. However, it doesn't tell where Quality and Reliability risks are hidden. This study intends to identify potential reliability risk of copper pillar structure in temperature cyclic loads by using Bayesian Networks (BN). As a conclusion, a BN model suggested higher value of probable failure part and it was well co-related with a result of temperature cyclic load test.
机译：风险评估是产品开发阶段必不可少的步骤，以确保其质量和可靠性。对于结构评估，通常使用有限元分析（FEA），以便知道在机械应力强度方面可以评估的位置或判断可以承受的某些零件。 FEA结果预测了一些机械薄弱区域和/或可靠的使用寿命。但是，它不能告诉您质量和可靠性风险隐藏在何处。本研究旨在通过使用贝叶斯网络（BN）来识别温度循环载荷下铜柱结构的潜在可靠性风险。结论是，BN模型建议较高的可能失效零件值，并且与温度循环载荷测试的结果密切相关。

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