Control Charts and Machine Learning for Anomaly Detection in Manufacturing

The book "Control Charts and Machine Learning for Anomaly Detection in Manufacturing" provides a comprehensive introduction to the latest research on advanced control charts and innovative machine learning approaches for anomaly detection in the field of smart manufacturing. It combines statistical methods with modern machine learning techniques to promote interdisciplinary collaboration among various research areas. The goal is to develop new approaches to anomaly detection that meet the demands of the fourth industrial revolution. The book includes practical algorithms and parameter sheets that enable readers to design advanced control charts and machine learning for anomaly detection in manufacturing. Case studies in each chapter support the practical application of these tools in real manufacturing processes, making the book a valuable resource for professionals and students alike.