Publication result detail

OIL FIELD DATA AND THEIR UTILISATION FOR SYSTEM OPERATION ASSESSMENT

VALIŠ, D.; ŽÁK, L.; GLOS, J.; WALEK, A.

Original Title

OIL FIELD DATA AND THEIR UTILISATION FOR SYSTEM OPERATION ASSESSMENT

English Title

OIL FIELD DATA AND THEIR UTILISATION FOR SYSTEM OPERATION ASSESSMENT

Type

Chapter in a book

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.

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

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

Key words in English

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

Authors

VALIŠ, D.; ŽÁK, L.; GLOS, J.; WALEK, A.

RIV year

2013

Released

11.10.2012

Publisher

Univerzita obrany, Brno

Location

Brno

ISBN

978-80-7231-886-5

Book

Deterioration, Dependability, Diagnostics

Edition

Deterioration, Dependability, Diagnostics

Pages from

237

Pages to

246

Pages count

10

BibTex

@inbook{BUT99554,
  author="David {Vališ} and Libor {Žák} and Josef {Glos} and Agata {Walek}",
  title="OIL FIELD DATA AND THEIR UTILISATION FOR SYSTEM OPERATION ASSESSMENT",
  booktitle="Deterioration, Dependability, Diagnostics",
  year="2012",
  publisher="Univerzita obrany, Brno",
  address="Brno",
  series="Deterioration, Dependability, Diagnostics",
  pages="237--246",
  isbn="978-80-7231-886-5"
}