Bearing fault prognostics using Rényi entropy based features and Gaussian process models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F15%3A43925112" target="_blank" >RIV/49777513:23220/15:43925112 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ymssp.2014.07.011" target="_blank" >http://dx.doi.org/10.1016/j.ymssp.2014.07.011</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ymssp.2014.07.011" target="_blank" >10.1016/j.ymssp.2014.07.011</a>
Alternative languages
Result language
angličtina
Original language name
Bearing fault prognostics using Rényi entropy based features and Gaussian process models
Original language description
Bearings are considered to be the most frequent cause for failures in rotational machinery. Hence efficient means to anticipate the remaining useful life (RUL) on-line, by processing the available sensory records, is of substantial practical relevance. Many of the data-driven approaches rely on conjecture that evolution of condition monitoring (CM) indices is related with the aggravation of the condition and, indirectly, with the remaining useful life of a bearing. Problems with trending may be threefold: (i) most of the operational life show no significant trend until the time very close to failure; this is usually accompanied by rapidly growing values of CM indices which is not easy to forecast, (ii) the evolution of CM indices is not necessarily monotonous, (iii) variable and immeasurable fluctuations in operating may fool the trend. Motivated by these issues we propose an approach for bearing fault prognostics that employs Rényi entropy based features. It exploits the idea that pro
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/EE2.3.30.0013" target="_blank" >EE2.3.30.0013: Excellence in human resources as a source of competitiveness</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
Mechanical Systems and Signal Processing
ISSN
0888-3270
e-ISSN
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Volume of the periodical
2015
Issue of the periodical within the volume
52-53
Country of publishing house
GB - UNITED KINGDOM
Number of pages
11
Pages from-to
327-337
UT code for WoS article
000345472500022
EID of the result in the Scopus database
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