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

Loading...
Thumbnail Image
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal
View/Open full text file from the Research portal
Date
2014
Major/Subject
Mcode
Degree programme
Language
en
Pages
9
5973-5981
Series
INDUSTRIAL AND ENGINEERING CHEMISTRY RESEARCH, Volume 53, issue 4
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
Description
Keywords
Control loop, Oscillation detections, Oscillation patterns
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 . https://doi.org/10.1021/ie402636m