The non-linear behaviour exhibited by many industrial processes can be usefully modelled with the techniques of computational intelligence: neural networks; fuzzy systems and nonlinear partial least squares.
Soft Sensors for Monitoring and Control of Industrial Processes underlines the real usefulness of each approach and the sensitivity of the individual steps in soft-sensor design to the choice of one or the other. Design paths are suggested and readers shown how to evaluate the effects of their choices. All the case studies reported, resulting from collaborations between the authors and a number of industrial partners, raised challenging soft-sensor-design problems. The applications of soft sensors presented in this volume are designed to cope with the whole range from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation. Some of the soft sensors developed here are implemented on-line at industrial plants.
Features:
This monograph guides interested readers a"researchers, graduate students and industrial process technologists a" through the design of their own soft sensors. It is self-contained with full references and appraisal of existing literature and data sets for some of the case studies can be downloaded from springer.com.
Or split into 4x interest-free payments of 25% on orders over R50
Learn more
The non-linear behaviour exhibited by many industrial processes can be usefully modelled with the techniques of computational intelligence: neural networks; fuzzy systems and nonlinear partial least squares.
Soft Sensors for Monitoring and Control of Industrial Processes underlines the real usefulness of each approach and the sensitivity of the individual steps in soft-sensor design to the choice of one or the other. Design paths are suggested and readers shown how to evaluate the effects of their choices. All the case studies reported, resulting from collaborations between the authors and a number of industrial partners, raised challenging soft-sensor-design problems. The applications of soft sensors presented in this volume are designed to cope with the whole range from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation. Some of the soft sensors developed here are implemented on-line at industrial plants.
Features:
This monograph guides interested readers a"researchers, graduate students and industrial process technologists a" through the design of their own soft sensors. It is self-contained with full references and appraisal of existing literature and data sets for some of the case studies can be downloaded from springer.com.
Imprint | Springer London |
Country of origin | United Kingdom |
Series | Advances in Industrial Control |
Release date | December 2006 |
Availability | Expected to ship within 10 - 15 working days |
First published | 2007 |
Authors | Luigi Fortuna, Salvatore Graziani, Alessandro Rizzo, Maria Gabriella Xibilia |
Dimensions | 235 x 155 x 24mm (L x W x T) |
Format | Hardcover |
Pages | 271 |
Edition | 2007 ed. |
ISBN-13 | 978-1-84628-479-3 |
Barcode | 9781846284793 |
Categories | |
LSN | 1-84628-479-1 |