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Soft Sensors for Monitoring and Control of Industrial Processes - Luigi Fortuna#Salvatore Graziani#Alessandro Rizzo#Maria Gabriella Xibilia
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Luigi Fortuna#Salvatore Graziani#Alessandro Rizzo#Maria Gabriella Xibilia:
Soft Sensors for Monitoring and Control of Industrial Processes - neues Buch

ISBN: 9781849966085

ID: e14fc1a863acda64c1c196ba4579d895

Some of the case studies can be downloaded from the Website 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 downloaded from springer.com. 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. Bücher / Fremdsprachige Bücher / Englische Bücher 978-1-84996-608-5, Springer

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Soft Sensors for Monitoring and Control of Industrial Processes - Luigi Fortuna#Salvatore Graziani#Alessandro Rizzo#Maria Gabriella Xibilia
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Luigi Fortuna#Salvatore Graziani#Alessandro Rizzo#Maria Gabriella Xibilia:
Soft Sensors for Monitoring and Control of Industrial Processes - neues Buch

ISBN: 9781849966085

ID: 735784206

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 downloaded from springer.com. 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. Some of the case studies can be downloaded from the Website Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Soft Sensors for Monitoring and Control of Industrial Processes - Luigi Fortuna; Salvatore Graziani; Alessandro Rizzo; Maria Gabriella Xibilia
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Luigi Fortuna; Salvatore Graziani; Alessandro Rizzo; Maria Gabriella Xibilia:
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ISBN: 9781849966085

ID: 9781849966085

Engineering; Industrial and Production Engineering; Control; Information Systems Applications (incl. Internet); Industrial Chemistry/Chemical Engineering; Communications Engineering, Networks; Artificial Intelligence (incl. Robotics) Control Applications, Data Mining, Fuzzy, Fuzzy Logic, Nonl, Process Control, Process Engineering, Virtual Sensors, artificial intelligence, communication, control engineering, fuzzy systems, intelligence, robot, robotics Books Book (Paperback Initiative), Springer Science+Business Media

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2007, ISBN: 9781849966085

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Soft Sensors for Monitoring and Control of Industrial Processes:Softcover reprint of hardcover 1st ed. 2007. Luigi Fortuna, Salvatore Graziani, Alessandro Rizzo, Maria Gabriella Xibilia Soft Sensors for Monitoring and Control of Industrial Processes:Softcover reprint of hardcover 1st ed. 2007. Luigi Fortuna, Salvatore Graziani, Alessandro Rizzo, Maria Gabriella Xibilia Bücher > Wissenschaft > Technik, Springer

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Soft Sensors for Monitoring and Control of Industrial Processes - L. Fortuna; Salvatore Graziani; Alessandro Rizzo; Maria Gabriella Xibilia
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2010, ISBN: 9781849966085

ID: 16179717

1st ed. Softcover of orig. ed. 2007, Softcover, Buch, [PU: Springer London Ltd]

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Details zum Buch
Soft Sensors for Monitoring and Control of Industrial Processes
Autor:

Fortuna, Luigi; Xibilia, Maria Gabriella; Rizzo, Alessandro; Graziani, Salvatore

Titel:

Soft Sensors for Monitoring and Control of Industrial Processes

ISBN-Nummer:

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.

Detailangaben zum Buch - Soft Sensors for Monitoring and Control of Industrial Processes


EAN (ISBN-13): 9781849966085
ISBN (ISBN-10): 1849966087
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
292 Seiten
Gewicht: 0,445 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 19.03.2011 21:08:25
Buch zuletzt gefunden am 11.04.2017 09:03:50
ISBN/EAN: 1849966087

ISBN - alternative Schreibweisen:
1-84996-608-7, 978-1-84996-608-5


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