Soft Sensors for Monitoring and Control of Industrial Processes

• Κύριοι συγγραφείς: Fortuna, Luigi (Συγγραφέας), Graziani, Salvatore (Συγγραφέας), Rizzo, Alessandro (Συγγραφέας), Xibilia, Maria G. (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London, 2007.
• Σειρά: Advances in Industrial Control,
• Θέματα: Engineering.; Chemical engineering.; Artificial intelligence.; Control engineering.; Industrial engineering.; Production engineering.; Electrical engineering.; Industrial and Production Engineering.; Control.; Information Systems Applications (incl. Internet).; Industrial Chemistry/Chemical Engineering.; Communications Engineering, Networks.; Artificial Intelligence (incl. Robotics).

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 exhibite...

Πίνακας περιεχομένων:

• Soft Sensors in Industrial Applications
• Virtual Instruments and Soft Sensors
• Soft Sensor Design
• Selecting Data from Plant Database
• Choice of the Model Structure
• Model Validation
• Strategies to Improve Soft Sensor Performance
• Adapting Soft Sensors to Applications
• Fault Detection, Sensor Validation and Diagnosis.