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
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;
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
Print_ISBN :
978-1-4673-5714-2
DOI :
10.1109/CDC.2013.6760559
