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 |
|---|---|
| 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