Detail publikace

Combustion Engine Degradation Assessment Supported by Tribological Data, Correlation and Reduction Analysis

VALIŠ, D. ŽÁK, L. VINTR, Z.

Originální název

Combustion Engine Degradation Assessment Supported by Tribological Data, Correlation and Reduction Analysis

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

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.

Klíčová slova

Field data analysis, contaminants and additives in oil, assessment of operation, statistical analysis

Autoři

VALIŠ, D.; ŽÁK, L.; VINTR, Z.

Vydáno

1. 2. 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

1452

Strany do

1456

Strany počet

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",
  pages="1452--1456",
  publisher="IEEE",
  address="Singapore",
  doi="10.1109/IEEM58616.2023.10406472",
  isbn="979-8-3503-2315-3"
}