A method for detecting non-stationary oscillations in process plants

Vesa-Matti Tikkala, Alexey Zakharov, Sirkka-Liisa Jamsa-Jounela

Research output: Contribution to journalArticleScientificpeer-review

8 Citations (Scopus)
138 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)1-8
JournalControl Engineering Practice
Issue number1
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed


  • fault detection
  • oscillation
  • diagnosis
  • industrial application


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