Machine Learning Methodologies to Predict the Results of Simulation-Based Fault Injection

Simulation-based fault injection is a widely used technique for early-stage circuit reliability analysis. However, it consumes significant time, particularly for complex circuits. This paper introduces two Machine Learning (ML) methodologies to predict simulation-based fault injection outcomes at th...

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Veröffentlicht in:	IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2024-05, Vol.71 (5), p.1978-1991
Hauptverfasser:	Lu, Li, Chen, Junchao, Ulbricht, Markus, Krstic, Milos
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Circuit faults Circuit reliability Circuits Feature extraction Graph neural networks Integrated circuit modeling Integrated circuit reliability Logic gates Machine learning neural network Neural networks Reliability analysis Simulation Simulation-based fault injection Training Waveforms
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