dc.contributor.author |
Zhou, Baifan
|
|
dc.contributor.author |
Chioua, Moncef
|
|
dc.contributor.author |
Bauer, Margret
|
|
dc.contributor.author |
Schlake, Jan Christoph
|
|
dc.contributor.author |
Thornhill, Nina F.
|
|
dc.date.accessioned |
2019-11-13T12:38:25Z |
|
dc.date.issued |
2019-05 |
|
dc.description.abstract |
Oscillations occurring in industrial process plants often reflect the presence of severe disturbances affecting process operations. Accurate detection and root-cause analysis of oscillations is of great interest for the economic viability of the process operation. Standard oscillation detection and root cause analysis methods require a large enough number of data samples. Unrelated transient changes superimposed on the oscillation pattern reduce the number of useful data samples. The present paper proposes simple heuristic methods to effectively detect and remove two types of transient changes from oscillatory signals, namely step changes and spikes. The proposed methods are used to preprocess oscillatory time series. The accuracy gained when using autocorrelation function method for oscillation detection (Thornhill et al., 2003) and transfer entropy method for oscillation propagation (Bauer et., 2007) is experimentally evaluated. The methods are carried out on a 1,3-butadiene production process where several measurements showed an established oscillation occurring after a production level change. |
en_ZA |
dc.description.department |
Electrical, Electronic and Computer Engineering |
en_ZA |
dc.description.embargo |
2020-05-03 |
|
dc.description.librarian |
hj2019 |
en_ZA |
dc.description.sponsorship |
The BMBF, research project “FEE”, Grant 01IS14006E. |
en_ZA |
dc.description.uri |
http://pubs.acs.org/journal/iecred |
en_ZA |
dc.identifier.citation |
Zhou, B.F., Chioua, M., Bauer, M. et al. Improving root cause analysis by detecting and removing transient changes in oscillatory time series with application to a 1,3-butadiene process. Industrial and Engineering Chemistry Research 2019, 58, 26, 11234-11250. |
en_ZA |
dc.identifier.issn |
0888-5885 (print) |
|
dc.identifier.issn |
1520-5045 (online) |
|
dc.identifier.other |
10.1021/acs.iecr.8b06138 |
|
dc.identifier.uri |
http://hdl.handle.net/2263/72245 |
|
dc.language.iso |
en |
en_ZA |
dc.publisher |
American Chemical Society |
en_ZA |
dc.rights |
This document is the Accepted Manuscript version of a Published Work that appeared in final form in Industrial and Engineering Chemistry Research, © 2019 American Chemical Society after peer review and technical editing by the publisher. |
en_ZA |
dc.subject |
Oscillations |
en_ZA |
dc.subject |
Plant-wide disturbances |
en_ZA |
dc.subject |
Pre-processing |
en_ZA |
dc.subject |
Transient removal |
en_ZA |
dc.subject |
Fault detection |
en_ZA |
dc.subject |
Chemical process |
en_ZA |
dc.title |
Improving root cause analysis by detecting and removing transient changes in oscillatory time series with application to a 1,3-butadiene process |
en_ZA |
dc.type |
Postprint Article |
en_ZA |