Publication detail

COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA

ŽÁK, L. VALIŠ, D. GLOS, J.

Czech title

Porovnání statistických a fuzzy metod nad daty

English title

COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA

Type

journal article - other

Language

en

Original abstract

The paper is to apply regression analysis methods and fuzzy methods in order to analyze field data with the aim of finding the dependence of Fe particles occurrence on operating time. When comparing the results of both methods/approaches, we can estimate the real operating profile of observed technical systems. The results might be used for optimizing during an operation and maintenance phase.

Czech abstract

Článek se zabývá porovnání statistických a fuzzy metod nad daty, které byly získány z měření množství železa v oleji u motorů používaných v T72, BVP a T810.

English abstract

The paper is to apply regression analysis methods and fuzzy methods in order to analyze field data with the aim of finding the dependence of Fe particles occurrence on operating time. When comparing the results of both methods/approaches, we can estimate the real operating profile of observed technical systems. The results might be used for optimizing during an operation and maintenance phase.

Keywords in Czech

tribo-diagnostics, regresní anylýza, fuzzy logika

Keywords in English

maintenance optimization, tribo-diagnostics, field data, regression analysis, fuzzy logic

RIV year

2012

Released

27.06.2012

ISSN

1803-3814

Volume

2012

Number

1

Pages from–to

46–51

Pages count

6

BIBTEX


@article{BUT99337,
  author="Libor {Žák} and David {Vališ} and Josef {Glos},
  title="COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA",
  year="2012",
  volume="2012",
  number="1",
  month="June",
  pages="46--51",
  issn="1803-3814"
}