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Automated Detection and Characterization of ESD-Induced Soft Failures Using Image- and Audio-Based Methods
IEEE Transactions on Electromagnetic Compatibility ( IF 2.1 ) Pub Date : 2020-08-01 , DOI: 10.1109/temc.2020.2986173
Omid Hoseini Izadi , Javad Meiguni , Kenji Araki , Hideki Shumiya , David J. Pommerenke

Audio- and image-based soft failure detection methods are developed, which can detect both severe failures (such as system hang) and subtle ones (such as glitch or a momentary disturbance on display). Incorporating the developed detection methods with a robotic ESD (electrostatic discharge) tester, we developed a fully automated soft failure investigation tool. Using this fully automated tool, we obtained failure-specific susceptibility maps for a camera (our target device). These susceptibility maps not only illustrated the sensitive locations of the device, they also showed what type of soft failure is correlated with which locations.

中文翻译:

使用基于图像和音频的方法自动检测和表征 ESD 引起的软故障

开发了基于音频和图像的软故障检测方法,它可以检测严重故障(例如系统挂起)和细微故障(例如显示的故障或瞬时干扰)。将开发的检测方法与机器人 ESD(静电放电)测试仪相结合,我们开发了一种全自动软故障调查工具。使用这个全自动工具,我们获得了相机(我们的目标设备)的故障特定敏感性图。这些敏感性图不仅说明了设备的敏感位置,还显示了哪些类型的软故障与哪些位置相关。
更新日期:2020-08-01
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