Model Based Process Supervision
Download Model Based Process Supervision full books in PDF, epub, and Kindle. Read online free Model Based Process Supervision ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Model-based Process Supervision
Author | : Arun Kumar Samantaray |
Publisher | : Springer Science & Business Media |
Total Pages | : 489 |
Release | : 2008-03-14 |
Genre | : Technology & Engineering |
ISBN | : 1848001592 |
Download Model-based Process Supervision Book in PDF, Epub and Kindle
This book provides control engineers and workers in industrial and academic research establishments interested in process engineering with a means to build up a practical and functional supervisory control environment and to use sophisticated models to get the best use out of their process data. Several applications to academic and small-scale-industrial processes are discussed and the development of a supervision platform for an industrial plant is presented.
Model-based Process Supervision Related Books
Language: en
Pages: 489
Pages: 489
Type: BOOK - Published: 2008-03-14 - Publisher: Springer Science & Business Media
This book provides control engineers and workers in industrial and academic research establishments interested in process engineering with a means to build up a
Language: en
Pages: 358
Pages: 358
Type: BOOK - Published: 2011-04-06 - Publisher: Springer Science & Business Media
Supervision, condition-monitoring, fault detection, fault diagnosis and fault management play an increasing role for technical processes and vehicles in order t
Language: en
Pages: 324
Pages: 324
Type: BOOK - Published: - Publisher: Springer Nature
Language: en
Pages: 320
Pages: 320
Type: BOOK - Published: 2011-04-27 - Publisher: Routledge
The third edition of this book is an updated and expanded presentation of the widely used Integrative Developmental Model of Supervision. In contrast to other v
Language: en
Pages: 330
Pages: 330
Type: BOOK - Published: 2020-07-03 - Publisher: Elsevier
Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process monitoring by merging the adva