Publication result detail

Contribution to systém failure occurence prediction and to system remaining useful life estimation based on oil field data

VALIŠ, D.; ŽÁK, L.; POKORA, O.

Original Title

Contribution to systém failure occurence prediction and to system remaining useful life estimation based on oil field data

English Title

Contribution to systém failure occurence prediction and to system remaining useful life estimation based on oil field data

Type

Peer-reviewed article not indexed in WoS or Scopus

Original Abstract

This article addresses one of the several possible approaches that allows us to determine a system technical state on the basis of diagnostic data. The article examines iron and lead particles that are selected deliberately with respect to their origin in kinematic parts of the system and their degree of correlation with operation measures.

English abstract

This article addresses one of the several possible approaches that allows us to determine a system technical state on the basis of diagnostic data. The article examines iron and lead particles that are selected deliberately with respect to their origin in kinematic parts of the system and their degree of correlation with operation measures.

Keywords

Failure prediction, system residual technical life estimation, field data, Wiener process

Key words in English

Failure prediction, system residual technical life estimation, field data, Wiener process

Authors

VALIŠ, D.; ŽÁK, L.; POKORA, O.

RIV year

2015

Released

10.10.2014

ISBN

1748-006X

Periodical

Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability

Volume

229

Number

1

State

United Kingdom of Great Britain and Northern Ireland

Pages from

36

Pages to

45

Pages count

10

BibTex

@article{BUT113195,
  author="David {Vališ} and Libor {Žák} and Ondřej {Pokora}",
  title="Contribution to systém failure occurence prediction and to system remaining useful life estimation based on oil field data",
  journal="Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability",
  year="2014",
  volume="229",
  number="1",
  pages="36--45",
  issn="1748-006X"
}