Detecting Dominant Resonant Modes of Rolling Bearing Faults Using the Niching Genetic Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00178013" target="_blank" >RIV/68407700:21230/11:00178013 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.ymssp.2011.02.012" target="_blank" >http://dx.doi.org/10.1016/j.ymssp.2011.02.012</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.ymssp.2011.02.012" target="_blank" >10.1016/j.ymssp.2011.02.012</a>

Result language
angličtina
Original language name
Detecting Dominant Resonant Modes of Rolling Bearing Faults Using the Niching Genetic Algorithm
Original language description
In this paper we propose an improvement of methods for adaptive selection of frequency bands containing transients which indicate the presence of the dominant resonant modes of rolling bearing faults using niching genetic algorithm optimization. The mainaim of this approach is to diagnose the condition of the bearings and to be able to recognize faults on various parts of bearings and possible combinations of faults. Because the vibration signals corresponding to faults on bearings are typically transients with a wide frequency range occurring around the excited mechanical resonant modes and drowned in the acquired vibration signals, it is necessary to emphasize these excited transients using a matched bank of filters.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JB - Sensors, detecting elements, measurement and regulation
OECD FORD branch
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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