Multivariate Process Monitoring Of Sequntial Process Data


Multivariate Process Monitoring Of Sequntial Process Data
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Multivariate Statistical Process Control


Multivariate Statistical Process Control
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Author : Zhiqiang Ge
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-11-28

Multivariate Statistical Process Control written by Zhiqiang Ge and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-28 with Technology & Engineering categories.


Given their key position in the process control industry, process monitoring techniques have been extensively investigated by industrial practitioners and academic control researchers. Multivariate statistical process control (MSPC) is one of the most popular data-based methods for process monitoring and is widely used in various industrial areas. Effective routines for process monitoring can help operators run industrial processes efficiently at the same time as maintaining high product quality. Multivariate Statistical Process Control reviews the developments and improvements that have been made to MSPC over the last decade, and goes on to propose a series of new MSPC-based approaches for complex process monitoring. These new methods are demonstrated in several case studies from the chemical, biological, and semiconductor industrial areas. Control and process engineers, and academic researchers in the process monitoring, process control and fault detection and isolation (FDI) disciplines will be interested in this book. It can also be used to provide supplementary material and industrial insight for graduate and advanced undergraduate students, and graduate engineers. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.



Chemical Process Performance Evaluation


Chemical Process Performance Evaluation
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Author : Ali Cinar
language : en
Publisher: CRC Press
Release Date : 2007-01-11

Chemical Process Performance Evaluation written by Ali Cinar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-11 with Science categories.


The latest advances in process monitoring, data analysis, and control systems are increasingly useful for maintaining the safety, flexibility, and environmental compliance of industrial manufacturing operations. Focusing on continuous, multivariate processes, Chemical Process Performance Evaluation introduces statistical methods and modeling te



Multivariate Statistical Process Control With Industrial Applications


Multivariate Statistical Process Control With Industrial Applications
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Author : Robert L. Mason
language : en
Publisher: SIAM
Release Date : 2002-01-01

Multivariate Statistical Process Control With Industrial Applications written by Robert L. Mason and has been published by SIAM this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-01-01 with Technology & Engineering categories.


This applied, self-contained text provides detailed coverage of the practical aspects of multivariate statistical process control (MVSPC)based on the application of Hotelling's T2 statistic. MVSPC is the application of multivariate statistical techniques to improve the quality and productivity of an industrial process. The authors, leading researchers in this area who have developed major software for this type of charting procedure, provide valuable insight into the T2 statistic. Intentionally including only a minimal amount of theory, they lead readers through the construction and monitoring phases of the T2 control statistic using numerous industrial examples taken primarily from the chemical and power industries. These examples are applied to the construction of historical data sets to serve as a point of reference for the control procedure and are also applied to the monitoring phase, where emphasis is placed on signal location and interpretation in terms of the process variables.



Statistical Monitoring Of Complex Multivatiate Processes


Statistical Monitoring Of Complex Multivatiate Processes
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Author : Uwe Kruger
language : en
Publisher: John Wiley & Sons
Release Date : 2012-10-04

Statistical Monitoring Of Complex Multivatiate Processes written by Uwe Kruger and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-04 with Mathematics categories.


The development and application of multivariate statistical techniques in process monitoring has gained substantial interest over the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complex systems, such techniques have been refined and applied in various engineering areas, for example mechanical and manufacturing, chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statistical techniques lies in its simplicity and adaptability for developing monitoring applications. In contrast, competitive model, signal or knowledge based techniques showed their potential only whenever cost-benefit economics have justified the required effort in developing applications. Statistical Monitoring of Complex Multivariate Processes presents recent advances in statistics based process monitoring, explaining how these processes can now be used in areas such as mechanical and manufacturing engineering for example, in addition to the traditional chemical industry. This book: Contains a detailed theoretical background of the component technology. Brings together a large body of work to address the field’s drawbacks, and develops methods for their improvement. Details cross-disciplinary utilization, exemplified by examples in chemical, mechanical and manufacturing engineering. Presents real life industrial applications, outlining deficiencies in the methodology and how to address them. Includes numerous examples, tutorial questions and homework assignments in the form of individual and team-based projects, to enhance the learning experience. Features a supplementary website including Matlab algorithms and data sets. This book provides a timely reference text to the rapidly evolving area of multivariate statistical analysis for academics, advanced level students, and practitioners alike.



Statistical Monitoring Of Complex Multivatiate Processes


Statistical Monitoring Of Complex Multivatiate Processes
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FREE 30 Days

Author : Uwe Kruger
language : en
Publisher: John Wiley & Sons
Release Date : 2012-08-06

Statistical Monitoring Of Complex Multivatiate Processes written by Uwe Kruger and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-06 with Mathematics categories.


The development and application of multivariate statisticaltechniques in process monitoring has gained substantial interestover the past two decades in academia and industry alike. Initially developed for monitoring and fault diagnosis in complexsystems, such techniques have been refined and applied in variousengineering areas, for example mechanical and manufacturing,chemical, electrical and electronic, and power engineering. The recipe for the tremendous interest in multivariate statisticaltechniques lies in its simplicity and adaptability for developingmonitoring applications. In contrast, competitive model,signal or knowledge based techniques showed their potential onlywhenever cost-benefit economics have justified the required effortin developing applications. Statistical Monitoring of Complex Multivariate Processespresents recent advances in statistics based process monitoring,explaining how these processes can now be used in areas such asmechanical and manufacturing engineering for example, in additionto the traditional chemical industry. This book: Contains a detailed theoretical background of the componenttechnology. Brings together a large body of work to address thefield’s drawbacks, and develops methods for theirimprovement. Details cross-disciplinary utilization, exemplified by examplesin chemical, mechanical and manufacturing engineering. Presents real life industrial applications, outliningdeficiencies in the methodology and how to address them. Includes numerous examples, tutorial questions and homeworkassignments in the form of individual and team-based projects, toenhance the learning experience. Features a supplementary website including Matlab algorithmsand data sets. This book provides a timely reference text to the rapidlyevolving area of multivariate statistical analysis for academics,advanced level students, and practitioners alike.



Fundamentals And Applications Of Multiway Data Analysis


Fundamentals And Applications Of Multiway Data Analysis
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Author : Alejandro Olivieri
language : en
Publisher: Elsevier
Release Date : 2024-01-19

Fundamentals And Applications Of Multiway Data Analysis written by Alejandro Olivieri and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-19 with Technology & Engineering categories.


Fundamentals and Applications of Multiway Data Analysis provides comprehensive coverage of the main aspects of multiway analysis, including selected applications that can resolve complex analytical chemistry problems. This book follows on from Fundamentals and Analytical Applications of Multiway Calibration, (2015) by addressing new theoretical analysis and applications on subjects beyond multiway calibration and devoted to the analysis of multiway data for other purposes. Specifically, this new volume presents researchers a set of effective tools they can use to obtain the maximum information from instrumental data. This book includes the most advanced techniques, methods and algorithms related to multiway modelling for solving calibration and classification tasks, and the way they can be applied. This book collects contributions from a selected number of well-known and active chemometric research groups across the world, each covering one or more subjects where their expertise is recognized and appreciated. Includes chapters written by renowned international authors, all currently active in the subject field Presents coverage of all the main aspects of multi-way analytical data analysis, concerning the two main areas of interest: data generation and algorithmic models for data processing Provides up-to-date material with reference to current literature on the subject



Process Monitoring And Fault Diagnosis Based On Multivariable Statistical Analysis


Process Monitoring And Fault Diagnosis Based On Multivariable Statistical Analysis
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Author : Xiangyu Kong
language : en
Publisher: Springer Nature
Release Date :

Process Monitoring And Fault Diagnosis Based On Multivariable Statistical Analysis written by Xiangyu Kong and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Statistical Process Monitoring And Optimization


Statistical Process Monitoring And Optimization
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Author : Geoffrey Vining
language : en
Publisher: CRC Press
Release Date : 1999-11-24

Statistical Process Monitoring And Optimization written by Geoffrey Vining and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-11-24 with Business & Economics categories.


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



Multivariate Process Monitoring Of Sequntial Process Data


Multivariate Process Monitoring Of Sequntial Process Data
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Author : Pekka Teppola
language : en
Publisher:
Release Date : 1999

Multivariate Process Monitoring Of Sequntial Process Data written by Pekka Teppola and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.




Bayesian Process Monitoring Control And Optimization


Bayesian Process Monitoring Control And Optimization
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Author : Bianca M. Colosimo
language : en
Publisher: CRC Press
Release Date : 2006-11-10

Bayesian Process Monitoring Control And Optimization written by Bianca M. Colosimo and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-11-10 with Business & Economics categories.


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