COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F15%3APU114234" target="_blank" >RIV/00216305:26210/15:PU114234 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
COMPARISON OF REGRESSION AND FUZZY ESTIMATES ON FIELD OIL DATA
Original language description
The paper is to apply selected fuzzy and regression methods to analysing oil field data. The research is aimed on comparison and on finding the dependence between Fe (AOWP) particles occurrence on operating and calendar time. We use regression and fuzzy method on finding the dependence and we would like to use the outcomes for maintenance optimisation. That is the Condition Based Maintenance of the observed systems which is supposed to be supported by this approaches.
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20306 - Audio engineering, reliability analysis
Result continuities
Project
<a href="/en/project/LO1202" target="_blank" >LO1202: NETME CENTRE PLUS</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mendel Journal series
ISSN
1803-3814
e-ISSN
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Volume of the periodical
2015
Issue of the periodical within the volume
1
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
6
Pages from-to
85-90
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-84938889355