Publication detail

Mathematical modelling of soot particles in oil

ŽÁK, L. VALIŠ, D. VINTR, Z. HASILOVÁ, K.

Original Title

Mathematical modelling of soot particles in oil

Type

conference paper

Language

English

Original Abstract

Technical systems requirements have been continuously growing, whether it is dependability or safety. The provision of a high level of dependability is possible during the design and development phase due to inherent dependability. A high level of dependability means a well prepared design, quality material, accurately performed production, etc. Even if the inherent dependability is lower, its level might be kept provided there is a quality maintenance system. At present it is rather common not to follow the maintenance scheme of regular fixed intervals (given by operating time or calendar days). In our article we focus on specific oil particles, i.e. soot. It is formed as a by-product during fuel combustion. Soot contaminates the oil and its concentration might indicate that operating conditions are getting worse. In the analysis and modelling we use a deterministic mathematical method - the median regression which allows us to present mathematical properties of the soot particles.

Keywords

Field data assessment, oil data, soot, off-line diagnostics, residual life, maintenance optimization

Authors

ŽÁK, L.; VALIŠ, D.; VINTR, Z.; HASILOVÁ, K.

Released

18. 6. 2017

Publisher

Taylor & Francis Group

Location

London

ISBN

978-1-138-62937-0

Book

Safety and Reliability:Theory and Application, ESREL 2017

Pages from

719

Pages to

726

Pages count

8

BibTex

@inproceedings{BUT139299,
  author="Libor {Žák} and David {Vališ} and Zdeněk {Vintr} and Kamila {Hasilová}",
  title="Mathematical modelling of soot particles in oil",
  booktitle="Safety and Reliability:Theory and Application, ESREL 2017",
  year="2017",
  pages="719--726",
  publisher="Taylor & Francis Group",
  address="London",
  doi="10.1201/9781315210469-94",
  isbn="978-1-138-62937-0"
}