Monitoring internal combustion engine wear from engine oil using linear regression
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F26%3A00564782" target="_blank" >RIV/60162694:G43__/26:00564782 - isvavai.cz</a>
Result on the web
<a href="https://www.spiedigitallibrary.org/conference-proceedings-of-spie" target="_blank" >https://www.spiedigitallibrary.org/conference-proceedings-of-spie</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1117/12.3083483" target="_blank" >10.1117/12.3083483</a>
Alternative languages
Result language
angličtina
Original language name
Monitoring internal combustion engine wear from engine oil using linear regression
Original language description
This paper deals with the wear monitoring of an internal combustion engine in a heavy combat vehicle. For the purpose of the study, engine oil samples were collected and then checked using a technique called atomic emission spectroscopy (AES). This is one of the modern ways of measuring metallic elements in oil, including iron. The amount of iron in engine oil is expressed in parts per million (ppm). This indicates how much the metal parts of an internal combustion engine are worn. Engine oil samples from 15 combat vehicles over several years were used for the experiment. The aim of this work was to predict the iron concentration in engine oil using a suitable mathematical method. Robust linear regression with MM estimator is used in this paper. It is a method that combines high robustness to outliers and minimizes a weighted loss function using an iterative optimization approach. The second method used is the least squares method, which is a mathematical technique that works by minimizing the sum of the squares of the differences between the actual values and the values predicted by the model.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20300 - Mechanical engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of SPIE - The International Society for Optical Engineering
ISBN
978-1-5106-9521-4
ISSN
0277-786X
e-ISSN
1996-756X
Number of pages
6
Pages from-to
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Publisher name
SPIE
Place of publication
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Event location
Singapore, Republic of Singapore
Event date
Jun 30, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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