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Machine Learning Support for Fault Diagnosis of System-on-Chip
Engelsk Hardback
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Machine Learning Support for Fault Diagnosis of System-on-Chip
Engelsk Hardback
Hardback
764 kr
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Om denne bog

This book provides a state-of-the-art guide to Machine Learning (ML)-based techniques that have been shown to be highly efficient for diagnosis of failures in electronic circuits and systems. The methods discussed can be used for volume diagnosis after manufacturing or for diagnosis of customer returns. Readers will be enabled to deal with huge amount of insightful test data that cannot be exploited otherwise in an efficient, timely manner. After some background on fault diagnosis and machine learning, the authors explain and apply optimized techniques from the ML domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing. These techniques can be used for failure isolation in logic or analog circuits, board-level fault diagnosis, or even wafer-level failure cluster identification. Evaluation metrics as well as industrial case studies are used to emphasize the usefulness and benefits of using ML-based diagnosis techniques.

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Product detaljer
Sprog:
Engelsk
Sider:
316
ISBN-13:
9783031196386
Indbinding:
Hardback
Udgave:
ISBN-10:
3031196384
Kategori:
Udg. Dato:
14 mar 2023
Længde:
0mm
Bredde:
155mm
Højde:
235mm
Forlag:
Springer International Publishing AG
Oplagsdato:
14 mar 2023
Forfatter(e):
Kategori sammenhænge