Real time SEU detection and diagnosis for safety or mission-critical ICs using HASH library-based fault dictionaries

Fault detection and diagnosis of safety and mission-critical embedded systems is a constant concern of the aerospace community. There exists a number of fault detection and diagnosis techniques, which are usually based on generating complicated models of the system, or increasing its redundancy. The present paper shows a new approach, based on hash libraries, which allows for fault detection and diagnosis at circuit level, without previous modeling of the system or adding redundancy. Additionally, the proposed technique can be used to detect faults in real-time in a final application, where no comparison with a golden chip is available.