Soft sensor

From Wikipedia, the free encyclopedia
Jump to: navigation, search

Soft sensor or virtual sensor is a common name for software where several measurements are processed together. There may be dozens or even hundreds of measurements. The interaction of the signals can be used for calculating new quantities that need not be measured. Soft sensors are especially useful in data fusion, where measurements of different characteristics and dynamics are combined. It can be used for fault diagnosis as well as control applications.

Well-known software algorithms that can be seen as soft sensors include e.g. Kalman filters. More recent implementations of soft sensors use neural networks or fuzzy computing.

Examples of soft sensor applications:

See also[edit]


  • Fortuna, Luigi; Graziani, Salvatore; Rizzo, Alessandro; Xibilia, M. Gabriella (2007), Soft Sensors for Monitoring and Control of Industrial Processes, Springer-Verlag, ISBN 978-1-84628-479-3 
  • Kadlec, Petr; Gabrys, Bogdan; Strandt, Sybille (2009), "Data-driven Soft Sensors in the Process Industry", Computers and Chemical Engineering 33 (4): 795–814, doi:10.1016/j.compchemeng.2008.12.012 
  • Karri, Rama Rao; Damaraju, Phaneswara Rao; Venkateswarlu, Chimmiri (2009), "Soft Sensor Based Nonlinear Control of a Chaotic Reactor", Intelligent Control Systems and Signal Processing 2 (1): 537–543, doi:10.3182/20090921-3-TR-3005.00093 

External links[edit]