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

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Zakharov, Alexey
dc.contributor.author Jämsä-Jounela, Sirkka-Liisa
dc.date.accessioned 2017-03-23T11:25:27Z
dc.date.available 2017-03-23T11:25:27Z
dc.date.issued 2014
dc.identifier.citation Zakharov , A & Jämsä-Jounela , S-L 2014 , ' Robust oscillation detection index and characterization of oscillating signals for valve stiction detection ' INDUSTRIAL AND ENGINEERING CHEMISTRY RESEARCH , vol 53 , no. 4 , pp. 5973-5981 . en
dc.identifier.issn 0888-5885
dc.identifier.issn 1520-5045
dc.identifier.other PURE UUID: 804be2f6-5909-43ed-abe7-76b455748b5e
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/robust-oscillation-detection-index-and-characterization-of-oscillating-signals-for-valve-stiction-detection(804be2f6-5909-43ed-abe7-76b455748b5e).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/10769556/robust_oscillation_detection_index_and_characterization_of_oscillating_signals_for_valve_stiction_detection1.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/24908
dc.description.abstract 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 en
dc.format.extent 9
dc.format.extent 5973-5981
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries INDUSTRIAL AND ENGINEERING CHEMISTRY RESEARCH en
dc.relation.ispartofseries Volume 53, issue 4 en
dc.rights openAccess en
dc.subject.other 215 Chemical engineering en
dc.subject.other 220 Industrial biotechnology en
dc.subject.other 216 Materials engineering en
dc.title Robust oscillation detection index and characterization of oscillating signals for valve stiction detection en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Biotechnology and Chemical Technology en
dc.contributor.department Department of Chemical and Metallurgical Engineering en
dc.subject.keyword Control loop
dc.subject.keyword Oscillation detections
dc.subject.keyword Oscillation patterns
dc.subject.keyword 215 Chemical engineering
dc.subject.keyword 220 Industrial biotechnology
dc.subject.keyword 216 Materials engineering
dc.identifier.urn URN:NBN:fi:aalto-201703233151
dc.identifier.doi 10.1021/ie402636m
dc.type.version acceptedVersion


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