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portada Knowledge-Driven Board-Level Functional Fault Diagnosis
Type
Physical Book
Author
Publisher
Language
English
Pages
147
Format
Paperback
Dimensions
23.4 x 15.6 x 0.9 cm
Weight
0.24 kg.
ISBN13
9783319820545
Categories

Knowledge-Driven Board-Level Functional Fault Diagnosis

Krishnendu Chakrabarty (Author) · Zhaobo Zhang (Author) · Fangming Ye (Author) · Springer · Paperback

Knowledge-Driven Board-Level Functional Fault Diagnosis - Ye, Fangming ; Zhang, Zhaobo ; Chakrabarty, Krishnendu

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Synopsis "Knowledge-Driven Board-Level Functional Fault Diagnosis"

This book provides a comprehensive set of characterization, prediction, optimization, evaluation, and evolution techniques for a diagnosis system for fault isolation in large electronic systems. Readers with a background in electronics design or system engineering can use this book as a reference to derive insightful knowledge from data analysis and use this knowledge as guidance for designing reasoning-based diagnosis systems. Moreover, readers with a background in statistics or data analytics can use this book as a practical case study for adapting data mining and machine learning techniques to electronic system design and diagnosis. This book identifies the key challenges in reasoning-based, board-level diagnosis system design and presents the solutions and corresponding results that have emerged from leading-edge research in this domain. It covers topics ranging from highly accurate fault isolation, adaptive fault isolation, diagnosis-system robustness assessment, to system performance analysis and evaluation, knowledge discovery and knowledge transfer. With its emphasis on the above topics, the book provides an in-depth and broad view of reasoning-based fault diagnosis system design.- Explains and applies optimized techniques from the machine-learning domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing;- Demonstrates techniques based on industrial data and feedback from an actual manufacturing line;- Discusses practical problems, including diagnosis accuracy, diagnosis time cost, evaluation of diagnosis system, handling of missing syndromes in diagnosis, and need for fast diagnosis-system development.

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