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Monitoring batch processes with dynamic time warping and k-nearest neighbours
DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering. DTU Compute, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID iD: 0000-0003-4222-9631
2018 (English)In: Chemometrics and Intelligent Laboratory Systems, ISSN 0169-7439, E-ISSN 1873-3239, Vol. 183, p. 102-112Article in journal (Refereed) Published
Abstract [en]

A novel data driven approach to batch process monitoring is presented, which combines the k-Nearest Neighbour rule with the dynamic time warping (DTW) distance. This online method (DTW-NN) calculates the DTW distance between an ongoing batch, and each batch in a reference database of batches produced under normal operating conditions (NOC). The sum of the k smallest DTW distances is monitored. If a fault occurs in the ongoing batch, then this distance increases and an alarm is generated. The monitoring statistic is easy to interpret, being a direct measure of similarity of the ongoing batch to its nearest NOC predecessors and the method makes no distributional assumptions regarding normal operating conditions. DTW-NN is applied to four extensive datasets from simulated batch production of penicillin, and tested on a wide variety of fault types, magnitudes and onset times. Performance of DTW-NN is contrasted with a benchmark multiway PCA approach, and DTW-NN is shown to perform particularly well when there is clustering of batches under NOC.

Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 183, p. 102-112
Keywords [en]
Batch process, Dynamic time warping, Nearest neighbours, Pensim
National Category
Reliability and Maintenance
Research subject
Quality Technology & Management
Identifiers
URN: urn:nbn:se:ltu:diva-71487DOI: 10.1016/j.chemolab.2018.10.011ISI: 000453490700011Scopus ID: 2-s2.0-85056005015OAI: oai:DiVA.org:ltu-71487DiVA, id: diva2:1261410
Note

Validerad;2018;Nivå 2;2018-11-07 (johcin) 

Available from: 2018-11-07 Created: 2018-11-07 Last updated: 2019-01-30Bibliographically approved

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Kulahci, Murat

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