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Soft Sensors for Monitoring and Control of Industrial Processes

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...

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Bibliographic Details
Main Authors: Fortuna, Luigi. (Author, http://id.loc.gov/vocabulary/relators/aut), Graziani, Salvatore. (http://id.loc.gov/vocabulary/relators/aut), Rizzo, Alessandro. (http://id.loc.gov/vocabulary/relators/aut), Xibilia, Maria Gabriella. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: London : Springer London : Imprint: Springer, 2007.
Edition:1st ed. 2007.
Series:Advances in Industrial Control,
Subjects:
Industrial engineering.
Production engineering.
Control engineering.
Application software.
Chemical engineering.
Electrical engineering.
Artificial intelligence.
Industrial and Production Engineering.
Control and Systems Theory.
Information Systems Applications (incl. Internet).
Industrial Chemistry/Chemical Engineering.
Communications Engineering, Networks.
Artificial Intelligence.
Online Access:https://doi.org/10.1007/978-1-84628-480-9
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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.

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