Publication detail
System Condition Assessment Based on Mathematical Analysis
ŽÁK, L. VALIŠ, D. VINTR, Z.
English title
System Condition Assessment Based on Mathematical Analysis
Type
conference paper
Language
en
Original abstract
When determining a system technical condition, it is possible to use multiple approaches. For practical reasons it is convenient to use an indirect diagnostic signal. In our article we focus on applying oil field data collected from a few tens of heavy vehicle engines. The aim is to get a picture of how quickly oil polluting particles are made and consequently how quickly the degradation progresses. When modelling the occurrence of the oil polluting particles, advanced linear regression methods are used. When analysing the diagnostic data, we use mainly a novel quantile regression approach. The aim is to estimate i) the course of trend in the development of polluting particles, ii) the time when the critical value is reached iii) first hitting time distribution.
English abstract
When determining a system technical condition, it is possible to use multiple approaches. For practical reasons it is convenient to use an indirect diagnostic signal. In our article we focus on applying oil field data collected from a few tens of heavy vehicle engines. The aim is to get a picture of how quickly oil polluting particles are made and consequently how quickly the degradation progresses. When modelling the occurrence of the oil polluting particles, advanced linear regression methods are used. When analysing the diagnostic data, we use mainly a novel quantile regression approach. The aim is to estimate i) the course of trend in the development of polluting particles, ii) the time when the critical value is reached iii) first hitting time distribution.
Keywords in English
Maintenance optimization, oil field data assessment, polluting particles, residual life
Released
14.01.2019
Publisher
Taylor & Francis Group
Location
London
ISBN
978-1-5386-6786-6
Book
2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018
Pages from–to
222–226
Pages count
6
BIBTEX
@inproceedings{BUT155729,
author="David {Vališ} and Libor {Žák} and Zdeněk {Vintr},
title="System Condition Assessment Based on Mathematical Analysis",
booktitle="2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018",
year="2019",
month="January",
pages="222--226",
publisher="Taylor & Francis Group",
address="London",
isbn="978-1-5386-6786-6"
}