Publication detail

COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA

ŽÁK, L. VALIŠ, D.

English title

COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA

Type

Scopus Article

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.

Keywords in English

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

Released

2015-06-23

ISSN

1803-3814

Book

21st International Conference on Soft Computing – MENDEL 2015

Journal

Mendel Journal series

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",
  journal="Mendel Journal series",
  year="2015",
  volume="2015",
  number="1",
  pages="85--90",
  issn="1803-3814"
}