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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F15%3A00082089" target="_blank" >RIV/00216224:14310/15:00082089 - isvavai.cz</a>

  • Alternative codes found

    RIV/60162694:G43__/15:00520703

  • Result on the web

    <a href="http://dx.doi.org/10.1177/1748006X14547789" target="_blank" >http://dx.doi.org/10.1177/1748006X14547789</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1177/1748006X14547789" target="_blank" >10.1177/1748006X14547789</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    At present, numerous approaches are devoted to monitoring a system state. Their intention is to determine the current state of a system and predict reliability parameters for the future. This article addresses one of the several possible approaches thatallows us to determine a system technical state on the basis of diagnostic data. These diagnostic data are from the area of tribiodagnostics, namely, engine oil. The article examines iron and lead particles that are selected deliberately with respect totheir origin in kinematic parts of the system and their degree of correlation with operation measures. The particles occur in oil during both operating time and calendar time development. To model their occurrence during operation time, we have used, inthe first part of the article, a mathematical regression method to set parameters. In the second part, we have applied a diffusion model based on a Wiener process. The results confirm that we are able to estimate the residual technical li

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BA - General mathematics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2015

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

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

  • ISSN

    1748-006X

  • e-ISSN

  • Volume of the periodical

    229

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    36-45

  • UT code for WoS article

    000349221400004

  • EID of the result in the Scopus database