Application of Wavelets for Evaluation of Soft Sensors under Irregular Sampling of Output Measurements

Andrei Torgashov1, Anton A. Goncharov2, Fan Yang3

  • 1Institute for Automation and Control Processes FEB RAS
  • 2FEFU
  • 3Tsinghua University



Poster Session


11:45 - 12:20 | Wed 24 Apr | Veleiros | WeS1

Poster A

09:00 - 10:20 | Thu 25 Apr | Hallway | ThSS

All Posters Session

Full Text


The problem of evaluating soft sensors for plants with irregular output measurement time is considered. In order to find the relationship between inputs and output, the wavelet-transformed inputs are integrated into the regression model framework. A suitable procedure for wavelet type selection is discussed. An example is provided to illustrate successful application of the proposed approach and an industrial case study is given for soft sensor evaluation of a reactive distillation process.

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