Automated Detection and Characterization of ESD-Induced Soft Failures Using Image- and Audio-Based Methods

Omid Hoseini Izadi, Javad Meiguni, Kenji Araki, Hideki Shumiya, David J. Pommerenke

Publikation: Beitrag in einer FachzeitschriftArtikelBegutachtung

Abstract

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.
Originalspracheenglisch
Aufsatznummer9082875
Seiten (von - bis)1546-1554
Seitenumfang9
FachzeitschriftIEEE Transactions on Electromagnetic Compatibility
Jahrgang62
Ausgabenummer4
DOIs
PublikationsstatusVeröffentlicht - Aug 2020

ASJC Scopus subject areas

  • Physik der kondensierten Materie
  • Atom- und Molekularphysik sowie Optik
  • Elektrotechnik und Elektronik

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