Publication detail

System Condition Assessment Based on Mathematical Analysis

ŽÁK, L. VALIŠ, D. VINTR, Z.

Original Title

System Condition Assessment Based on Mathematical Analysis

Type

conference paper

Language

English

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.

Keywords

Maintenance optimization, oil field data assessment, polluting particles, residual life

Authors

ŽÁK, L.; VALIŠ, D.; VINTR, Z.

Released

14. 1. 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

222

Pages to

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",
  pages="222--226",
  publisher="Taylor & Francis Group",
  address="London",
  doi="10.1109/IEEM.2018.8607623",
  isbn="978-1-5386-6786-6"
}