Soft Sensors for Monitoring and Control of Industrial Processes (Advances in Industrial Control)
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1
Soft Sensors for Monitoring and Control of Industrial Processes (Advances in Industrial Control) (2006)
EN HC NW
ISBN: 9781846284793 bzw. 1846284791, in Englisch, 271 Seiten, 2007. Ausgabe, Springer, gebundenes Buch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, affordable2015.
This book reviews current design paths for soft sensors, and guides readers in evaluating different choices. The book presents case studies resulting from collaborations between the authors and industrial partners. The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation., Hardcover, Ausgabe: 2007, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2006-12-07, Studio: Springer, Verkaufsrang: 7868057.
Von Händler/Antiquariat, affordable2015.
This book reviews current design paths for soft sensors, and guides readers in evaluating different choices. The book presents case studies resulting from collaborations between the authors and industrial partners. The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation., Hardcover, Ausgabe: 2007, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2006-12-07, Studio: Springer, Verkaufsrang: 7868057.
2
Soft Sensors for Monitoring and Control of Industrial Processes (Advances in Industrial Control) (2006)
EN HC US
ISBN: 9781846284793 bzw. 1846284791, in Englisch, 271 Seiten, 2007. Ausgabe, Springer, gebundenes Buch, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, Usually ships in 1-2 business days.
Von Händler/Antiquariat, allnewbooks.
This book reviews current design paths for soft sensors, and guides readers in evaluating different choices. The book presents case studies resulting from collaborations between the authors and industrial partners. The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation., Hardcover, Ausgabe: 2007, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2006-12-07, Studio: Springer, Verkaufsrang: 7868057.
Von Händler/Antiquariat, allnewbooks.
This book reviews current design paths for soft sensors, and guides readers in evaluating different choices. The book presents case studies resulting from collaborations between the authors and industrial partners. The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation., Hardcover, Ausgabe: 2007, Label: Springer, Springer, Produktgruppe: Book, Publiziert: 2006-12-07, Studio: Springer, Verkaufsrang: 7868057.
3
Soft Sensors for Monitoring and Control of Industrial Processes
EN US
ISBN: 9781846284793 bzw. 1846284791, in Englisch, Springer London, Springer London, gebraucht.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten, Free Shipping on eligible orders over $25.
Soft sensors are inferential estimators, drawing conclusions from process observations when hardware sensors are unavailable or unsuitable; they have an important auxiliary role in sensor validation when performance declines through senescence or fault accumulation. 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: soft-sensor design; advice on data selection and choice of model structure; model validation; strategies for the improvement of soft-sensor performance; uses of soft sensors in fault detection and sensor validation; soft sensors in use in industrial applications such as a debutanizer column and a sulfur recovery unit. This monograph guides interested readers - researchers, graduate students and industrial process technologists - 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.
Soft sensors are inferential estimators, drawing conclusions from process observations when hardware sensors are unavailable or unsuitable; they have an important auxiliary role in sensor validation when performance declines through senescence or fault accumulation. 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: soft-sensor design; advice on data selection and choice of model structure; model validation; strategies for the improvement of soft-sensor performance; uses of soft sensors in fault detection and sensor validation; soft sensors in use in industrial applications such as a debutanizer column and a sulfur recovery unit. This monograph guides interested readers - researchers, graduate students and industrial process technologists - 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.
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