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Efficient diagnosis technique for aging defects on automotive semiconductor chips

The semiconductor aging is one of the serious threats for the reliability of the system. This paper presents an efficient mechanism for predicting the aging effect. The captured data will be unloaded by shift operation, then verified through the aging monitoring operation. Especially the aging level of automotive semiconductor devices can be estimated by controlling the capture timing. Since the aging monitoring function is efficiently on and off during normal operation, power consumption can be reduced significantly compared with other approaches.