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.
Alexey Zakharov, Elena Zattoni, Lei Xie, Octavio Pozo Garcia, Sirkka-Liisa Jämsä-Jounela (2013). Data characterization for automatic selection of valve stiction detection algorithms. Piscataway, NJ 08854 : IEEE The Institute of Electrical and Electronics Engineers, Inc. [10.1109/CDC.2013.6760559].
Data characterization for automatic selection of valve stiction detection algorithms
ZATTONI, ELENA;
2013
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
