Multivariate Statistical Process Control : Process Monitoring Methods and Applications
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 monitor...
Tallennettuna:
| Päätekijät: | , |
|---|---|
| Aineistotyyppi: | Livre numérique |
| Kieli: | Anglais |
| Julkaistu: |
London :
Springer London
2013.
Cham : Springer Nature |
| Sarja: | Advances in Industrial Control
|
| Aiheet: | |
| Linkit: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Huomautus: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multivariate Statistical Process Control, Texte imprimé, 9781447145141 • Multivariate Statistical Process Control, Texte imprimé, 9781447159896 • Multivariate Statistical Process Control, Texte imprimé, 9781447145127 |
| LEADER | 03787nam a22003857a 4500 | ||
|---|---|---|---|
| 001 | 949509 | ||
| 008 | 130325s2013 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN16829365X | ||
| 020 | |a 9781447145134 | ||
| 020 | |a 9781447145134 | ||
| 041 | 0 | |a eng | |
| 082 | |a 629.8 | ||
| 100 | 1 | |a Ge, Zhiqiang. | |
| 245 | 1 | 0 | |a Multivariate Statistical Process Control : |b Process Monitoring Methods and Applications |c by Zhiqiang Ge, Zhihuan Song. |
| 260 | |a London : |b Springer London. | ||
| 260 | |a Cham : |b Springer Nature, |c 2013. | ||
| 490 | 0 | |a Advances in Industrial Control |x 2193-1577 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Introduction -- An Overview of Conventional MSPC Methods -- Non-Gaussian Process Monitoring -- Fault Reconstruction and Identification -- Nonlinear Process Monitoring: Part I -- Nonlinear Process Monitoring: Part 2 -- Time-varying Process Monitoring -- Multimode Process Monitoring: Part 1 -- Multimode Process Monitoring: Part 2 -- Dynamic Process Monitoring -- Probabilistic Process Monitoring -- Plant-wide Process Monitoring: Multiblock Method -- Reference -- Index. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 650 | |a Maîtrise statistique des processus | ||
| 650 | |a Analyse multivariée | ||
| 700 | 1 | |a Song, Zhihuan. |4 aut | |
| 776 | 0 | |t Multivariate Statistical Process Control |b Texte imprimé |z 9781447145141 | |
| 776 | 0 | |t Multivariate Statistical Process Control |b Texte imprimé |z 9781447159896 | |
| 776 | 0 | |t Multivariate Statistical Process Control |b Texte imprimé |z 9781447145127 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-1-4471-4513-4 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-ZHXF538B-S |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:74812960X |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-1-4471-4513-4 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751584517 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-1-4471-4513-4 |z Accès INSA CVL | |
| 997 | |0 949509 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||