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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50902 - Social sciences, interdisciplinary

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název statě ve sborníku

2017 International Conference on Military Technologies (ICMT)

ISBN

978-1-5386-1988-9

ISSN

—

e-ISSN

—

Počet stran výsledku

7

Strana od-do

142-148

Název nakladatele

Institute of Electrical and Electronics Engineers Inc.

Místo vydání

Piscataway, NJ 08854-4141 USA

Místo konání akce

Brno

Datum konání akce

31. 5. 2017

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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