Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms

DOI

10.1080/18756891.2013.874670How to use a DOI?

Keywords

AHP, Choke Valve Erosion, Ensemble, Kernel Regression, Prognostics and Health Management

Abstract

This paper considers the problem of erosion in choke valves used on offshore oil platforms. A parameter commonly used to assess the valve erosion state is the flow coefficient, which can be analytically calculated as a function of both measured and allocated parameters. Since the allocated parameter estimation is unreliable, the obtained evaluation of the valve erosion level becomes inaccurate and undermines the possibility of achieving good prognostic results. In this work, cluster analysis is used to verify the allocated parameter values and an ensemble of Kernel Regression models is used to correct the valve flow coefficient estimates.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Piero Baraldi
AU  - Enrico Zio
AU  - Francesca Mangili
AU  - Giulio Gola
AU  - Bent H. Nystad
PY  - 2014
DA  - 2014/04/01
TI  - Ensemble of Kernel Regression Models for Assessing the Health State of Choke Valves in Offshore Oil Platforms
JO  - International Journal of Computational Intelligence Systems
SP  - 225
EP  - 241
VL  - 7
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.874670
DO  - 10.1080/18756891.2013.874670
ID  - Baraldi2014
ER  -