Removal of transient disturbances from oscillating measurements using nearest neighbors imputation
File(s)
Author(s)
Cecılio, IM
Ottewill, JR
Fretheim, H
Thornhill, NF
Type
Journal Article
Abstract
Transient disturbances in process measurements compromise the accuracy of some
methods for plant-wide oscillation analysis. This paper presents a method to remove
such transients while maintaining the dynamic features of the original measurement.
The method is based on a nearest neighbors imputation technique. It
replaces the removed transient with an estimate which is based on the time series
of the whole measurement. The method is demonstrated on experimental and
industrial case studies. The results demonstrate the efficacy of the method and
recommended parameters. Furthermore, inconsistency indices are proposed which
facilitate the automation of the method.
methods for plant-wide oscillation analysis. This paper presents a method to remove
such transients while maintaining the dynamic features of the original measurement.
The method is based on a nearest neighbors imputation technique. It
replaces the removed transient with an estimate which is based on the time series
of the whole measurement. The method is demonstrated on experimental and
industrial case studies. The results demonstrate the efficacy of the method and
recommended parameters. Furthermore, inconsistency indices are proposed which
facilitate the automation of the method.
Date Issued
2016-05-27
Date Acceptance
2016-04-26
Citation
Journal of Process Control, 2016, 44, pp.68-78
ISSN
0959-1524
Publisher
Elsevier
Start Page
68
End Page
78
Journal / Book Title
Journal of Process Control
Volume
44
Copyright Statement
© 2016 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
Commission of the European Communities
Grant Number
PIAP-GA-2009-251304
Subjects
Chemical Engineering
0904 Chemical Engineering
Publication Status
Published