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  • 标题:Application of Wavelets for Evaluation of Soft Sensors under Irregular Sampling of Output Measurements
  • 本地全文:下载
  • 作者:Andrei Torgashov ; Anton Goncharov ; Fan Yang
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:1
  • 页码:106-111
  • DOI:10.1016/j.ifacol.2019.06.045
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe 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.
  • 关键词:Keywordssoft sensingwaveletregressionirregular samplingtime delaydistillation columns
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