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Control Charts and Machine Learning for Anomaly Detection in Manufacturing (Springer Series in Reliability Engineering) - Tapa blanda

Libro 72 de 90: Springer Series in Reliability Engineering
 
9783030838218: Control Charts and Machine Learning for Anomaly Detection in Manufacturing (Springer Series in Reliability Engineering)
Tapa blanda
ISBN 10: 3030838218 ISBN 13: 9783030838218
Editorial: Springer, 2022

Sinopsis

This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution.

The book provides ready-to-use algorithms and parameter sheets, enabling readers to design advanced control charts and machine learning-based approaches for anomaly detection in manufacturing. Case studies are introduced in each chapter to help practitioners easily apply these tools to real-world manufacturing processes.

The book is of interest to researchers, industrial experts, and postgraduate students in the fields of industrial engineering, automation, statistical learning, and manufacturing industries.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

Dr. Kim Phuc Tran is an Associate Professor of Artificial Intelligence and Data Science at the ENSAIT and the GEMTEX laboratory, University of Lille, France. His research focuses on anomaly detection and applications, decision support systems with artificial intelligence, federated learning, edge computing and applications. He has published more than 44 papers in international refereed journal papers, 5 book chapters, and 2 editorials as well as over 20 papers in conference proceedings.

De la contraportada

This book introduces the latest research on advanced control charts and new machine learning approaches to detect abnormalities in the smart manufacturing process. By approaching anomaly detection using both statistics and machine learning, the book promotes interdisciplinary cooperation between the research communities, to jointly develop new anomaly detection approaches that are more suitable for the 4.0 Industrial Revolution.

The book provides ready-to-use algorithms and parameter sheets, enabling readers to design advanced control charts and machine learning-based approaches for anomaly detection in manufacturing. Case studies are introduced in each chapter to help practitioners easily apply these tools to real-world manufacturing processes.

The book is of interest to researchers, industrial experts, and postgraduate students in the fields of industrial engineering, automation, statistical learning, and manufacturing industries.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Springer
Año de publicación
2022
Idioma
Inglés
ISBN 10 
3030838218
ISBN 13 
9783030838218
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
276
Editor
Tran Kim Phuc
Contacto del fabricante
Springer Nature Customer Service Center GmbH
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Heidelberg
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Alemania

Otras ediciones populares con el mismo título

9783030838188: Control Charts and Machine Learning for Anomaly Detection in Manufacturing (Springer Series in Reliability Engineering)

Edición Destacada

ISBN 10:  3030838188 ISBN 13:  9783030838188
Editorial: Springer, 2021
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