Current distribution based power module screening by new normal/abnormal classification method with image processing

M. Tsukuda, Daisuke Yuki, H. Tomonaga, Hyoungseop Kim, I. Omura
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Abstract

We developed a screening equipment for ceramic substrate level power module of IGBT. The equipment realizes a new screening test with current distribution. The equipment acquires magnetic field signals over bonding wires and finally classifies to normal/abnormal module automatically. We established statistics based normal/abnormal classification with image processing. It is expected to be applied for screening in a production line and analysis to prevent the failure of power modules.
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基于电流分布的电源模块正常/异常分类新方法与图像处理
研制了一种用于IGBT陶瓷基板级功率模块的筛选设备。该设备实现了一种新的电流分布筛选试验。设备通过键合线采集磁场信号,并自动分类为正常/异常模块。通过图像处理,建立了基于统计学的正常/异常分类。预计将应用于生产线的筛选和分析,以防止电源模块的故障。
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