Publication detail
Combustion Engine Degradation Assessment Supported by Tribological Data, Correlation and Reduction Analysis
VALIŠ, D. ŽÁK, L. VINTR, Z.
English title
Combustion Engine Degradation Assessment Supported by Tribological Data, Correlation and Reduction Analysis
Type
conference paper
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
Field data analysis, contaminants and additives in oil, assessment of operation, statistical analysis
Released
01.02.2024
Publisher
IEEE
Location
Singapore
ISBN
979-8-3503-2315-3
Book
2023 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2023
Pages from–to
1452–1456
Pages count
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"
}