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Item Details
Title: KNOWLEDGE-DRIVEN BOARD-LEVEL FUNCTIONAL FAULT DIAGNOSIS
Volume: 2016
By: Fangming Ye, Zhaobo Zhang, Krishnendu Chakrabarty
Format: Hardback

List price: £64.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3319402099
ISBN 13: 9783319402093
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 19 August, 2016
Edition: 2017 ed.
Pages: 160
Synopsis: 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.
Illustrations: 10 black & white illustrations, 65 colour illustrations, 64 colour tables,
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Returnable
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