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Can I read Control Charts and Machine Learning for Anomaly Detection in Manufacturing (Springer Series in Reliability Engineering) on EtoBox?
Control Charts and Machine Learning for Anomaly Detection in Manufacturing (Springer Series in Reliability Engineering) by Kim Phuc Tran is a nonfiction available to read on EtoBox.
What is Control Charts and Machine Learning for Anomaly Detection in Manufacturing (Springer Series in Reliability Engineering) about?
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.
Who reads Control Charts and Machine Learning for Anomaly Detection in Manufacturing (Springer Series in Reliability Engineering)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Kim Phuc Tran
- Publisher
- Springer International Publishing : Imprint: Springer
- Published
- 2022
- Language
- EN
- ISBN
- 9783030838188
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Management
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