Robust oscillation detection index and characterization of oscillating signals for valve stiction detection

Alexey Zakharov, Sirkka-Liisa Jämsä-Jounela

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)
281 Downloads (Pure)


ABSTRACT: Detection of oscillation is a necessary step for determining valve stiction, which is a common problem in process industries. More specifically, many stiction detection methods assume persistency of the oscillation pattern in the control loop signals, which is a necessary condition to achieve reliable detection results. However, the existing oscillation detection methods do not study the persistency of the oscillation patterns directly. Instead, these methods try to discover the presence of specific periodic characteristics in the signals, their autocorrelation, or power-spectrum. This paper aims to propose an oscillation detection method that directly evaluates the similarity of the shapes of subsequent oscillation periods by means of correlation coefficient. The proposed oscillation detection method is compared against five other methods reported in the literature. Furthermore, the stiction detection methods assuming oscillation in control loops have different robustness to the disturbances corrupting the analyzed signals. In order to prepare a basis for selecting the right stiction detection methods for the available data automatically, the paper introduces two indexes quantifying mean-nonstationarity and presence of noise in oscillating signals
Original languageEnglish
Pages (from-to)5973-5981
Number of pages9
JournalIndustrial and Engineering Chemistry Research
Issue number4
Publication statusPublished - 2014
MoE publication typeA1 Journal article-refereed


  • Control loop
  • Oscillation detections
  • Oscillation patterns


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