Detail publikace
Combustion Engine Degradation Assessment Supported by Tribological Data, Correlation and Reduction Analysis
VALIŠ, D. ŽÁK, L. VINTR, Z.
Anglický název
Combustion Engine Degradation Assessment Supported by Tribological Data, Correlation and Reduction Analysis
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
en
Originální abstrakt
During operation, technical systems are subject to degradation. This degradation can be observed and measured directly or indirectly. However, in some cases, the indirect observation of the degradation is the only option, moreover, it is cheaper, faster, and quite accurate. One of the examples is the study of technical system degradation using oil data. In our article we examine a few hundred oil samples collected from lorry diesel motors during several years. The aim is to find two-dimensional dependence of the most important particles-contaminants. This dependence on the variables day and kilometre is used to i) find the degradation course, ii) determine when soft, or hard failures can occur in the studied system, iii) optimize operation and maintenance, and iv) rationalize cost.
Anglický abstrakt
During operation, technical systems are subject to degradation. This degradation can be observed and measured directly or indirectly. However, in some cases, the indirect observation of the degradation is the only option, moreover, it is cheaper, faster, and quite accurate. One of the examples is the study of technical system degradation using oil data. In our article we examine a few hundred oil samples collected from lorry diesel motors during several years. The aim is to find two-dimensional dependence of the most important particles-contaminants. This dependence on the variables day and kilometre is used to i) find the degradation course, ii) determine when soft, or hard failures can occur in the studied system, iii) optimize operation and maintenance, and iv) rationalize cost.
Klíčová slova anglicky
Field data analysis, contaminants and additives in oil, assessment of operation, statistical analysis
Vydáno
01.02.2024
Nakladatel
IEEE
Místo
Singapore
ISBN
979-8-3503-2315-3
Kniha
2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Strany od–do
1452–1456
Počet stran
5
BIBTEX
@inproceedings{BUT188556,
author="David {Vališ} and Libor {Žák} and Zdeněk {Vintr},
title="Combustion Engine Degradation Assessment Supported by Tribological Data, Correlation and Reduction Analysis",
booktitle="2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023",
year="2024",
month="February",
pages="1452--1456",
publisher="IEEE",
address="Singapore",
isbn="979-8-3503-2315-3"
}