Using adaptive filters and artificial signal for spindle bearing condition diagnostics

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F22%3A00359884" target="_blank" >RIV/68407700:21220/22:00359884 - isvavai.cz</a>
Alternative codes found
RIV/68407700:21730/22:00359884
Result on the web
<a href="https://iiav.org/content/archives_icsv_last/2022_icsv28/content/papers/papers/full_paper_455_20220515192555466.pdf" target="_blank" >https://iiav.org/content/archives_icsv_last/2022_icsv28/content/papers/papers/full_paper_455_20220515192555466.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Using adaptive filters and artificial signal for spindle bearing condition diagnostics
Original language description
The analysis of vibration signals sensed by accelerometers is currently the standard method for de-termining the condition of rolling bearings. In the case of machine tools, the signal obtained is often disturbed by extraneous sources masking the signal, such as frequency converters, auxiliary aggre-gates, etc. Cheap or improperly selected measuring equipment can also be the cause of signal distor-tion. It is therefore advisable to suppress interfering signals before the actual analysis. This article describes a method to identify and subsequently filter out such signals. Modified adaptive filters were used to mitigate unwanted signals. In the development of a suitable algorithm, artificial signals of slightly damaged bearing masked by white noise were used in the first stage. The modified adaptive filtering algorithms were then applied to the signals measured on a spindle with slightly damaged rolling bearing raceway.
Czech name
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Czech description
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Project
<a href="/en/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Cluster 4.0 - Methodology of System Integration</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 28th International Congress on Sound and Vibration
ISBN
978-981-18-5070-7
ISSN
2329-3675
e-ISSN
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Number of pages
8
Pages from-to
1-8
Publisher name
IIAV - International Institute of Acoustics and Vibration
Place of publication
Auburn
Event location
Singapur
Event date
Jul 24, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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