System condition assessment based on mathematical analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F18%3A00536304" target="_blank" >RIV/60162694:G43__/18:00536304 - isvavai.cz</a>
Alternative codes found
RIV/00216305:26210/19:PU131217
Result on the web
<a href="http://dx.doi.org/10.1109/IEEM.2018.8607623" target="_blank" >http://dx.doi.org/10.1109/IEEM.2018.8607623</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/IEEM.2018.8607623" target="_blank" >10.1109/IEEM.2018.8607623</a>
Alternative languages
Result language
angličtina
Original language name
System condition assessment based on mathematical analysis
Original language description
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. This leads to system condition monitoring. 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) critical threshold time hitting iii) distribution of first hitting time of occurrence of soft failure.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
—
OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management
ISBN
978-1-5386-6786-6
ISSN
2157-3611
e-ISSN
2157-362X
Number of pages
5
Pages from-to
222-226
Publisher name
IEEE
Place of publication
Singapore
Event location
Bangkok
Event date
Jan 1, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000458674600046