Virtual sensing

From Wikipedia, the free encyclopedia

Virtual sensing techniques,[1] also called soft sensing,[2] proxy sensing, inferential sensing, or surrogate sensing, are used to provide feasible and economical alternatives to costly or impractical physical measurement instrument. A virtual sensing system uses information available from other measurements and process parameters to calculate an estimate of the quantity of interest.

References[]

  1. ^ Virtual sensing techniques and their applications Lichuan Liu; Kuo, S. M.; Zhou, M. (2009). "Virtual sensing techniques and their applications". 2009 International Conference on Networking, Sensing and Control. p. 31. doi:10.1109/ICNSC.2009.4919241. ISBN 978-1-4244-3491-6.
  2. ^ A systematic approach for soft sensor development Lin, B.; Recke, B.; Knudsen, J. R. K. H.; Jørgensen, S. B. (2007). "A systematic approach for soft sensor development". Computers & Chemical Engineering. 31 (5–6): 419. doi:10.1016/j.compchemeng.2006.05.030.
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