Publication detail

COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA

ŽÁK, L. VALIŠ, D. GLOS, J.

Original Title

COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA

Type

journal article - other

Language

English

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.

Keywords

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

Authors

ŽÁK, L.; VALIŠ, D.; GLOS, J.

RIV year

2012

Released

27. 6. 2012

ISBN

1803-3814

Periodical

Mendel Journal series

Year of study

2012

Number

1

State

Czech Republic

Pages from

46

Pages to

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",
  journal="Mendel Journal series",
  year="2012",
  volume="2012",
  number="1",
  pages="46--51",
  issn="1803-3814"
}