Publication detail

COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA

ŽÁK, L. VALIŠ, D. GLOS, J.

English title

COMPARISON OF STATISTICAL AND FUZZY APPROACHES USED ON FIELD DATA

Type

Peer-reviewed article not indexed in WoS or Scopus

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.

Keywords in English

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

Released

2012-06-27

ISSN

1803-3814

Journal

Mendel Journal series

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