Detail publikace
COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA
ŽÁK, L. VALIŠ, D.
Anglický název
COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA
Typ
Článek Scopus
Jazyk
en
Originální abstrakt
The paper is to apply selected fuzzy and regression methods to analysing oil field data. The research is aimed on comparison and on finding the dependence between Fe (AOWP) particles occurrence on operating and calendar time. We use regression and fuzzy method on finding the dependence and we would like to use the outcomes for maintenance optimisation. That is the Condition Based Maintenance of the observed systems which is supposed to be supported by this approaches.
Klíčová slova anglicky
fuzzy logic, fuzzy inference system, regression analysis, tribo-diagnostics, field data.
Vydáno
2015-06-23
ISSN
1803-3814
Kniha
21st International Conference on Soft Computing – MENDEL 2015
Časopis
Mendel Journal series
Ročník
2015
Číslo
1
Strany od–do
85–90
Počet stran
6
BIBTEX
@article{BUT114739,
author="Libor {Žák} and David {Vališ}",
title="COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA",
journal="Mendel Journal series",
year="2015",
volume="2015",
number="1",
pages="85--90",
issn="1803-3814"
}