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.
Original language | English |
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Article number | 9082875 |
Pages (from-to) | 1546-1554 |
Number of pages | 9 |
Journal | IEEE Transactions on Electromagnetic Compatibility |
Volume | 62 |
Issue number | 4 |
DOIs | |
Publication status | Published - Aug 2020 |
Keywords
- Electrostatic discharges
- Image edge detection
- Probes
- Webcams
- Strips
- Robots
- Automatization
- detection algorithm
- electrostatic discharge (ESD)
- immunity test
- signal processing
- soft failure
- susceptibility map
ASJC Scopus subject areas
- Condensed Matter Physics
- Atomic and Molecular Physics, and Optics
- Electrical and Electronic Engineering