Publication detail

COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA

ŽÁK, L. VALIŠ, D.

Czech title

Porovnání regresních a fuzzy metod při hledání vlastností motorového oleje.

English title

COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA

Type

journal article in Scopus

Language

en

Original abstract

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.

Czech abstract

Článek se zabývá porovnáním fuzzy metod a regresní analýzy při zjišťování závislostí vlastností moorového oleje na počtu kalendářních hodin a počtu motohodin. Tuto závislost zjišťuje u železa (Fe) a množství mazacích vlastností oleje (AOWP).

English abstract

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.

Keywords in Czech

fuzzy logika, FIS, optimalizace údržby, Tribo-diagnostika

Keywords in English

fuzzy logic, fuzzy inference system, regression analysis, tribo-diagnostics, field data.

RIV year

2015

Released

23.06.2015

ISSN

1803-3814

Book

21st International Conference on Soft Computing - MENDEL 2015

Volume

2015

Number

1

Pages from–to

85–90

Pages count

6

BIBTEX


@article{BUT114739,
  author="Libor {Žák} and David {Vališ},
  title="COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA",
  booktitle="21st International Conference on Soft Computing - MENDEL 2015",
  year="2015",
  volume="2015",
  number="1",
  month="June",
  pages="85--90",
  issn="1803-3814"
}