DocumentCode
3532878
Title
Data characterization for automatic selection of valve stiction detection algorithms
Author
Zakharov, A. ; Zattoni, Elena ; Lei Xie ; Pozo, Octavio ; Jamsa-Jounela, Sirkka-Liisa
Author_Institution
Dept. of Biotechnol. & Chem. Technol., Aalto Univ., Aalto, Finland
fYear
2013
fDate
10-13 Dec. 2013
Firstpage
4355
Lastpage
4360
Abstract
This paper proposes a valve stiction detection system which selects applicable valve stiction detection algorithms based on characterization of the data. Additionally, the proposed system computes the final detection decision, weighting, by means of suitably-defined reliability indexes, the individual decisions provided by the selected algorithms. The paper demonstrates the effectiveness of the proposed valve stiction detection system with benchmark industrial data.
Keywords
stiction; valves; data characterization; reliability indexes; valve stiction detection algorithm automatic selection; Correlation; Feature extraction; Histograms; Indexes; Robustness; Valves;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location
Firenze
ISSN
0743-1546
Print_ISBN
978-1-4673-5714-2
Type
conf
DOI
10.1109/CDC.2013.6760559
Filename
6760559
Link To Document