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


2019

Гончаров А. А., Торгашов, Fan Yang

Статьи в сборниках / главы

IFAC-PapersOnLine

Volume 52, Issue 1, 2019

106-111

Torgashov A, Goncharov A., Fan Yang. Application of Wavelets for Evaluation of Soft Sensors under Irregular Sampling of Output Measurements // 12th IFAC Symposium on Dynamics and Control of Process Systems. 2019. Vol. 52-1. P. 106–111.

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.

https://www.sciencedirect.com/science/article/pii/S2405896319301302#!

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