Contribution to prediction of soft and hard failure occurrence in combustion engine using oil tribo data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F17%3APU136280" target="_blank" >RIV/00216305:26210/17:PU136280 - isvavai.cz</a>

Alternative codes found

RIV/60162694:G43__/17:00533950

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0301679X1930132X" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0301679X1930132X</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.engfailanal.2017.04.018" target="_blank" >10.1016/j.engfailanal.2017.04.018</a>

Result language

angličtina

Original language name

Contribution to prediction of soft and hard failure occurrence in combustion engine using oil tribo data

Original language description

When assessing technical systems, we apply different condition indicators. If we take into account indirect diagnostic indicators, lubricant seems to be a very good source of different information. Where the oil is part of a system, it is possible to get the information about the oil condition as well as the system itself. In this article we focus on the system of piston combustion engine and tribodiagnostic data. The indirect diagnostic information is the concentration level of contaminating particles in the oil. We observe specific particles of oil contamination-soot which is formed in the operation as a by-product during fuel combustion. The soot contaminates the oil significantly and the soot concentration shows under what conditions the system was operated. It also indicates that the system condition gradually deteriorates. We have a statistically very interesting set of data from the operation of heavy off-road vehicles. The recorded soot operation data depend on a few operation values: kilometres [km], days [day] and moto-hours [Mh]. Modelling a soft and a hard failure which might occur the moment the concentration reaches its critical value is performed with selected stochastic diffusion processes, namely the Wiener process with drift and the Ornstein-Uhlnbeck process. The main aim and contribution of our article is to estimate and study the distribution of the first hitting time of a critical threshold and to determine the moment when the soft and hard failure occurs in a vehicle. We also try to estimate the engine useful residual life. We are aware, however, that there are numerous possibilities of using these results.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

20306 - Audio engineering, reliability analysis

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

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

Name of the periodical

ENGINEERING FAILURE ANALYSIS

ISSN

1350-6307

e-ISSN

1873-1961

Volume of the periodical

82

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

16

Pages from-to

583-598

UT code for WoS article

000413323400049

EID of the result in the Scopus database

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