Detail publikačního výsledku

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

VALIŠ, D.; ŽÁK, L.; POKORA, O.

Originální název

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

Anglický název

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

Druh

Článek recenzovaný mimo WoS a Scopus

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

VALIŠ, D.; ŽÁK, L.; POKORA, O.

Rok RIV

2015

Vydáno

10.10.2014

ISSN

1748-006X

Periodikum

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

Svazek

229

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

36

Strany do

45

Strany počet

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"
}