The Use of Linear Regression in Tribodiagnostics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00564002" target="_blank" >RIV/60162694:G43__/26:00564002 - isvavai.cz</a>

Výsledek na webu

<a href="http://en.ktu.lt/" target="_blank" >http://en.ktu.lt/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5755/e01.2351-7034.2024.P736-742" target="_blank" >10.5755/e01.2351-7034.2024.P736-742</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Use of Linear Regression in Tribodiagnostics

Popis výsledku v původním jazyce

Iron is common wear metals typical sources from cylinder liners, valve guides, rocker arms, bearings, crankshaft, camshaft, wrist pins, housing of engine. By analysing the concentration of iron wear and comparing it to previous results and alarm allowable limits, mechanics can identify potential problems at an early stage. Using method AES (atomic emission spectroscopy) to determinate the concentration of iron metal particles in parts per million (ppm), 179 oil samples according to the engine operating hours (Mh) and taken from 20 combat vehicles. Comparing a simple linear regression model between frequentist approach and Baysian inference combined with method Markov Chain Monte Carlo for the simple linear model. We estimate that the iron content would reach the warning threshold of 50 ppm when the engine travelled from 380 to 600 Mh. From there, we recommend that the engine oil change interval can be extended rather than fixed every interval 200 Mh oil change. Thus, saving costs while still ensuring that the engine works well.

Název v anglickém jazyce

The Use of Linear Regression in Tribodiagnostics

Popis výsledku anglicky

Iron is common wear metals typical sources from cylinder liners, valve guides, rocker arms, bearings, crankshaft, camshaft, wrist pins, housing of engine. By analysing the concentration of iron wear and comparing it to previous results and alarm allowable limits, mechanics can identify potential problems at an early stage. Using method AES (atomic emission spectroscopy) to determinate the concentration of iron metal particles in parts per million (ppm), 179 oil samples according to the engine operating hours (Mh) and taken from 20 combat vehicles. Comparing a simple linear regression model between frequentist approach and Baysian inference combined with method Markov Chain Monte Carlo for the simple linear model. We estimate that the iron content would reach the warning threshold of 50 ppm when the engine travelled from 380 to 600 Mh. From there, we recommend that the engine oil change interval can be extended rather than fixed every interval 200 Mh oil change. Thus, saving costs while still ensuring that the engine works well.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20301 - Mechanical engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

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

Název statě ve sborníku

Transport Means - Proceedings of the International Conference

ISBN

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ISSN

1822-296X

e-ISSN

2351-7034

Počet stran výsledku

7

Strana od-do

736-742

Název nakladatele

Kauno Technologijos Universitetas

Místo vydání

Kaunas

Místo konání akce

Hybrid, Kaunas, Republic of Lithuania

Datum konání akce

2. 10. 2024

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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