Hybrid Derivative Dynamic Time Warping for Online Industrial Batch-End Quality Estimation | Zendy

Geert Gins | Zendy; Pieter Van den Kerkhof | Zendy; Jan Van Impe | Zendy

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Hybrid Derivative Dynamic Time Warping for Online Industrial Batch-End Quality Estimation

Author(s) -

Geert Gins,

Pieter Van den Kerkhof,

Jan Van Impe

Publication year - 2012

Publication title -

industrial and engineering chemistry research

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.878

H-Index - 221

eISSN - 1520-5045

pISSN - 0888-5885

DOI - 10.1021/ie2019068

Subject(s) - computer science , image warping , dynamic time warping , process (computing) , process engineering , quality (philosophy) , batch processing , real time computing , partial least squares regression , artificial intelligence , engineering , machine learning , philosophy , epistemology , programming language , operating system

This paper discusses the design of an inferential sensor for the online prediction of the end-quality of an industrial batch polymerization process. Owing to unequal batch speeds, measurement profi...

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