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.

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.
2013
Proceedings of the 52nd IEEE Conference on Decision and Control
4355
4360
Alexey Zakharov; Elena Zattoni; Lei Xie; Octavio Pozo Garcia; Sirkka-Liisa Jämsä-Jounela
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/220285
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