Publication detail

COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA

ŽÁK, L. VALIŠ, D.

Original Title

COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA

Type

journal article in Scopus

Language

English

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.

Keywords

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

Authors

ŽÁK, L.; VALIŠ, D.

RIV year

2015

Released

23. 6. 2015

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

2015

Number

1

State

Czech Republic

Pages from

85

Pages to

90

Pages count

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"
}