Statistical Process Monitoring and Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Process Monitoring and Optimization write by Geoffrey Vining. This book was released on 1999-11-24. Statistical Process Monitoring and Optimization available in PDF, EPUB and Kindle. Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. The book covers a range o
Statistical Process Monitoring and Optimization
Statistical Process Monitoring and Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Process Monitoring and Optimization write by Geoffrey Vining. This book was released on 1999-11-24. Statistical Process Monitoring and Optimization available in PDF, EPUB and Kindle. Demonstrates ways to track industrial processes and performance, integrating related areas such as engineering process control, statistical reasoning in TQM, robust parameter design, control charts, multivariate process monitoring, capability indices, experimental design, empirical model building, and process optimization. The book covers a range of statistical methods and emphasizes practical applications of quality control systems in manufacturing, organization and planning.
Bayesian Process Monitoring, Control and Optimization
Bayesian Process Monitoring, Control and Optimization - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Bayesian Process Monitoring, Control and Optimization write by Bianca M. Colosimo. This book was released on 2006-11-10. Bayesian Process Monitoring, Control and Optimization available in PDF, EPUB and Kindle. Although there are many Bayesian statistical books that focus on biostatistics and economics, there are few that address the problems faced by engineers. Bayesian Process Monitoring, Control and Optimization resolves this need, showing you how to oversee, adjust, and optimize industrial processes. Bridging the gap between application and dev
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches write by Fouzi Harrou. This book was released on 2020-07-03. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches available in PDF, EPUB and Kindle. Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the advantages of univariate and traditional multivariate techniques to enhance their performance and widen their practical applicability. The book proceeds with merging the desirable properties of shallow learning approaches – such as a one-class support vector machine and k-nearest neighbours and unsupervised deep learning approaches – to develop more sophisticated and efficient monitoring techniques. Finally, the developed approaches are applied to monitor many processes, such as waste-water treatment plants, detection of obstacles in driving environments for autonomous robots and vehicles, robot swarm, chemical processes (continuous stirred tank reactor, plug flow rector, and distillation columns), ozone pollution, road traffic congestion, and solar photovoltaic systems. Uses a data-driven based approach to fault detection and attribution Provides an in-depth understanding of fault detection and attribution in complex and multivariate systems Familiarises you with the most suitable data-driven based techniques including multivariate statistical techniques and deep learning-based methods Includes case studies and comparison of different methods
Introduction to Statistical Quality Control
Introduction to Statistical Quality Control - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Introduction to Statistical Quality Control write by Christina M. Mastrangelo. This book was released on 1991. Introduction to Statistical Quality Control available in PDF, EPUB and Kindle. Revised and expanded, this Second Edition continues to explore the modern practice of statistical quality control, providing comprehensive coverage of the subject from basic principles to state-of-the-art concepts and applications. The objective is to give the reader a thorough grounding in the principles of statistical quality control and a basis for applying those principles in a wide variety of both product and nonproduct situations. Divided into four parts, it contains numerous changes, including a more detailed discussion of the basic SPC problem-solving tools and two new case studies, expanded treatment on variable control charts with new examples, a chapter devoted entirely to cumulative-sum control charts and exponentially-weighted, moving-average control charts, and a new section on process improvement with designed experiments.
