A method for detecting non-stationary oscillations in process plants

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Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
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Date
2014
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Mcode
Degree programme
Language
en
Pages
1-8
Series
CONTROL ENGINEERING PRACTICE, Volume 32, issue 1
Abstract
This paper proposes a method for detecting oscillations in non-stationary time series based on the statistical properties of zero-crossings. The main development presented is a technique to remove non-stationary trend component from the analysed signals before applying an oscillation detection procedure. First, the method extracts the signal's baseline that is utilized to stationarize the signal. Then, an index describing the regularity of the stationarized signal's zero-crossings is computed in order to determine the presence of oscillation. The properties and performance of the method are analysed in simulation studies. Furthermore, the method is comprehensively tested with industrial data in a comparative study in which the proposed method is tested against other oscillation detection methods using industrial benchmark data and in tests on paperboard machine process . Finally, the simulation and industrial results are analysed and discussed.
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Keywords
fault detection, oscillation, diagnosis, industrial application
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Citation
Tikkala , V-M , Zakharov , A & Jamsa-Jounela , S-L 2014 , ' A method for detecting non-stationary oscillations in process plants ' , Control Engineering Practice , vol. 32 , no. 1 , pp. 1-8 . https://doi.org/10.1016/j.conengprac.2014.07.008