Nowadays, integrated circuit technologies are increasingly being more susceptible to ionizing radiation effects. In order to assess the reliability of a digital system performing a specific application and to identify the most critical failure effects, radiation experiments and fault injection campaigns are usually performed, which may be costly and time-expensive. This paper proposes a fully automated, practical methodology for accelerating Single-Event-Upset (SEU) fault injection campaigns in digital circuits. The main underlying principle is based on the correlation between the effects of the SEU fault model with the Stuck-At (SA) one. Circuital and functional analysis and experimental case studies confirm the effectiveness of the proposed solutions.

Exploiting Fault Model Correlations to Accelerate SEU Sensitivity Assessment / Grosso, Michelangelo; Guzman Miranda, H.; Aguirre, M. A.. - In: IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS. - ISSN 1551-3203. - STAMPA. - 9:1(2013), pp. 142-148. [10.1109/TII.2012.2226096]

Exploiting Fault Model Correlations to Accelerate SEU Sensitivity Assessment

GROSSO, MICHELANGELO;
2013

Abstract

Nowadays, integrated circuit technologies are increasingly being more susceptible to ionizing radiation effects. In order to assess the reliability of a digital system performing a specific application and to identify the most critical failure effects, radiation experiments and fault injection campaigns are usually performed, which may be costly and time-expensive. This paper proposes a fully automated, practical methodology for accelerating Single-Event-Upset (SEU) fault injection campaigns in digital circuits. The main underlying principle is based on the correlation between the effects of the SEU fault model with the Stuck-At (SA) one. Circuital and functional analysis and experimental case studies confirm the effectiveness of the proposed solutions.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2503391
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