A method for detecting non-stationary oscillations in process plants

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Journal Title
Journal ISSN
Volume Title
School of Chemical Technology | A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2014
Major/Subject
Mcode
Degree programme
Language
en
Pages
1-8
Series
Control Engineering Practice, Volume 32
Abstract
This paper proposes a method for detecting oscillations in non-stationary timeseries based on the statistical properties of zero-crossings. The main development presented is atechnique to remove non-stationary trend component from the analysed signals before applyingan oscillation detection procedure. First, the method extracts the signal's baseline that is utilizedto stationarize the signal. Then, an index describing the regularity of the stationarized signal'szero-crossings is computed in order to determine the presence of oscillation. The propertiesand performance of the method are analysed in simulation studies. Furthermore, the methodis comprehensively tested with industrial data in a comparative study in which the proposedmethod is tested against other oscillation detection methods using industrial benchmark dataand in tests on paperboard machine process. Finally, the simulation and industrial results areanalysed and discussed.
Description
Keywords
fault detection, oscillation, diagnosis, industrial application
Other note
Citation
Tikkala, Vesa-Matti & Zakharov, Alexey & Jämsä-Jounela, Sirkka-Liisa. 2014. A method for detecting non-stationary oscillations in process plants. Control Engineering Practice. Volume 32. 1-8. ISSN 0967-0661 (printed). DOI: 10.1016/j.conengprac.2014.07.008.