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Knowledge-Driven Board-Level Functional Fault Diagnosis

-15% su kodu: ENG15
125,26 
Įprasta kaina: 147,36 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
125,26 
Įprasta kaina: 147,36 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 147.3600 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 20,00 

Knygos aprašymas

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.

Informacija

Autorius: Fangming Ye, Xinli Gu, Krishnendu Chakrabarty, Zhaobo Zhang,
Leidėjas: Springer Nature Switzerland
Išleidimo metai: 2016
Knygos puslapių skaičius: 164
ISBN-10: 3319402099
ISBN-13: 9783319402093
Formatas: 241 x 160 x 15 mm. Knyga kietu viršeliu
Kalba: Anglų

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