Control Charts and Machine Learning for Anomaly Detection in Manufacturing

Name: Control Charts and Machine Learning for Anomaly Detection in Manufacturing
Brand: Springer, Berlin
SKU: 9783030838218
Price: 882.13 RON
Availability: InStock

Autor: Kim Phuc Tran

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Legare: Carte broșată

Editura: Springer, Berlin

Disponibilitate: În depozitul extern

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This book introduces the latest research on advanced control charts and new machine learning approac...

Informații despre carte

Autor

Kim Phuc Tran

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2022

Pagini

269

EAN

9783030838218

Enbook ID

41363396

Editura

Springer, Berlin

Greutate

423

Dimensiuni

155 x 235 x 16

Descriere completă

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.

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Control Charts and Machine Learning for Anomaly Detection in Manufacturing

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