Soft Sensors for Monitoring and Control of Industrial Processes

• Main Authors: Fortuna, Luigi (Author), Graziani, Salvatore (Author), Rizzo, Alessandro (Author), Xibilia, Maria G. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2007.
• Series: Advances in Industrial Control,
• Subjects: 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...

Table of Contents:

• 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.