An autonomous valve stiction detection system based on data characterization

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openAccess
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Date
2013
Department
Department of Biotechnology and Chemical Technology
Department of Chemical and Metallurgical Engineering
Major/Subject
Mcode
Degree programme
Language
en
Pages
1507-1518
Series
CONTROL ENGINEERING PRACTICE, Volume 21, issue 11
Abstract
This paper proposes a valve stiction detection system which selects valve stiction detection algorithms based on characterizations of the data. For this purpose, novel data feature indexes are proposed, which quantify the presence of oscillations, meannonstationarity, noise and nonlinearities in a given data sequence. The selection is then performed according to the conditions on the index values in which each method can be applied successfully. Finally, the stiction detection decision is given by combining the detection decisions made by the selected methods. The paper ends demonstrating the effectiveness of the proposed valve stiction detection system with benchmark industrial data.
Description
Keywords
valves, stiction, oscillations, control loops, fault detection, diagnosis, industrial applications
Other note
Citation
Zakharov, A, Zattoni, E, Xie, L, Pozo Garcia, O & Jämsä-Jounela, S-L 2013, ' An autonomous valve stiction detection system based on data characterization ', Control Engineering Practice, vol. 21, no. 11, pp. 1507-1518 . https://doi.org/10.1016/j.conengprac.2013.07.004