Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis
This book reports recent developments of the multivariate statistical process control (MSPC) methods for industrial process monitoring and fault diagnosis. Specifically, this book gives an overview of recently developed methods in different aspects, namely system-wide process monitoring, quality-rel...
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| Main Authors: | , , |
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| Format: | Electronisk eBog |
| Sprog: | engelsk |
| Udgivet: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2024.
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| Udgivelse: | 1st ed. 2024. |
| Serier: | Engineering Applications of Computational Methods,
19 |
| Fag: | |
| Online adgang: | https://doi.org/10.1007/978-981-99-8775-7 |
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| 100 | 1 | |a Kong, Xiangyu. |e author. |0 (orcid)0000-0003-2084-7826 |1 https://orcid.org/0000-0003-2084-7826 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Process Monitoring and Fault Diagnosis Based on Multivariable Statistical Analysis |h [electronic resource] / |c by Xiangyu Kong, Jiayu Luo, Xiaowei Feng. |
| 250 | |a 1st ed. 2024. | ||
| 264 | 1 | |a Singapore : |b Springer Nature Singapore : |b Imprint: Springer, |c 2024. | |
| 300 | |a 1 online resource (XXXIII, 300 p. 138 illus.). |b 131 illus. in color. | ||
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| 490 | 1 | |a Engineering Applications of Computational Methods, |x 2662-3374 ; |v 19 | |
| 505 | 0 | |a Chapter 1 Introduction -- Chapter 2 An Overview of Conventional MSPC Methods -- Chapter 3 System-wide Process Monitoring and Fault Diagnosis -- Chapter 4 Quality-Related Time-Varying Process Monitoring -- Chapter 5 Quality-Related Dynamic Process Monitoring: Part I -- Chapter 6 Quality-Related Dynamic Process Monitoring: Part II -- Chapter 7 Quality-Related Complex Nonlinear Process Monitoring -- Chapter 8 Quality-Related Fault Subspace Extraction for Fault Diagnosis -- Chapter 9 Non-Gaussian Process Monitoring and Fault Diagnosis -- Chapter 10 Hybrid Gaussian/Non-Gaussian Quality-Related Nonlinear Process Monitoring -- Chapter 11 Conclusions and Future Work. | |
| 520 | |a This book reports recent developments of the multivariate statistical process control (MSPC) methods for industrial process monitoring and fault diagnosis. Specifically, this book gives an overview of recently developed methods in different aspects, namely system-wide process monitoring, quality-related time-varying process monitoring, quality-related dynamic process monitoring, quality-related complex nonlinear process monitoring, and quality-related fault subspace extraction for fault diagnosis, non-Gaussian process monitoring and fault diagnosis, etc. In order to help readers understand and master the new methods, before presenting each new method in each chapter, a specialized section is provided to review the closely related several basis models. Throughout the book, detailed steps of new methods are provided, and all new algorithms or methods proposed by us are tested and verified by numerical simulations or Tennessee Eastman benchmark chemical process. Readers find illustrative demonstration examples on a range of industrial processes to study and the present deficiency and recent developments of the MSPC methods for industrial processes monitoring and fault diagnosis, by learning from the authors’ latest achievements or new methods around the practical industrial needs. This book is assimilated by advanced undergraduates and graduate students, as well as industrial and process engineering researchers and practitioners. | ||
| 532 | 8 | |a Accessibility summary: This PDF does not fully comply with PDF/UA standards, but does feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com. | |
| 532 | 8 | |a No reading system accessibility options actively disabled | |
| 532 | 8 | |a Publisher contact for further accessibility information: accessibilitysupport@springernature.com | |
| 588 | |a Print version record. | ||
| 650 | 0 | |a Mathematical models. | |
| 650 | 0 | |a Industrial Management. | |
| 650 | 0 | |a Control engineering. | |
| 650 | 1 | 4 | |a Mathematical Modeling and Industrial Mathematics. |
| 650 | 2 | 4 | |a Industrial Management. |
| 650 | 2 | 4 | |a Control and Systems Theory. |
| 700 | 1 | |a Luo, Jiayu. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Feng, Xiaowei. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
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| 830 | 0 | |a Engineering Applications of Computational Methods, |x 2662-3374 ; |v 19 | |
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