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.
Originalsprache | englisch |
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Aufsatznummer | 9082875 |
Seiten (von - bis) | 1546-1554 |
Seitenumfang | 9 |
Fachzeitschrift | IEEE Transactions on Electromagnetic Compatibility |
Jahrgang | 62 |
Ausgabenummer | 4 |
DOIs | |
Publikationsstatus | Veröffentlicht - Aug. 2020 |
ASJC Scopus subject areas
- Physik der kondensierten Materie
- Atom- und Molekularphysik sowie Optik
- Elektrotechnik und Elektronik