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Knowledge-Driven Board-Level Functional Fault Diagnosis, Hardback Book

Knowledge-Driven Board-Level Functional Fault Diagnosis Hardback

Hardback

Description

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.

Information

  • Format:Hardback
  • Pages:147 pages, 64 Tables, color; 65 Illustrations, color; 10 Illustrations, black and white; XIII, 147 p
  • Publisher:Springer International Publishing AG
  • Publication Date:
  • Category:
  • ISBN:9783319402093

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Information

  • Format:Hardback
  • Pages:147 pages, 64 Tables, color; 65 Illustrations, color; 10 Illustrations, black and white; XIII, 147 p
  • Publisher:Springer International Publishing AG
  • Publication Date:
  • Category:
  • ISBN:9783319402093