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Applying Regression Diagnostics for Identifying Non-standard Behaviour of a Technical System

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F17%3A00534043" target="_blank" >RIV/60162694:G43__/17:00534043 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/7988746/" target="_blank" >http://ieeexplore.ieee.org/document/7988746/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/MILTECHS.2017.7988746" target="_blank" >10.1109/MILTECHS.2017.7988746</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Applying Regression Diagnostics for Identifying Non-standard Behaviour of a Technical System

  • Original language description

    System condition is an important characteristic in the stage of operation and maintenance during a life cycle. The system condition in respective time periods usually correlates to system time deterioration. Since the degradation may lead to both soft and hard failure, reliability characteristics might be needed to describe each type of such failure. We concentrate on selected oil characteristics which are strongly correlated to both operating and calendar time elapse. In this paper we focus on soot particles and we model mathematically the effect of independent operating values [Mh] and [day] in relation to soot concentration [%]. Using the recorded data we are trying to find the records which could help us to change the soot concentration in the oil significantly.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50902 - Social sciences, interdisciplinary

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2017

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2017 International Conference on Military Technologies (ICMT)

  • ISBN

    978-1-5386-1988-9

  • ISSN

  • e-ISSN

  • Number of pages

    7

  • Pages from-to

    142-148

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc.

  • Place of publication

    Piscataway, NJ 08854-4141 USA

  • Event location

    Brno

  • Event date

    May 31, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article