Using adaptive filters and artificial signal for spindle bearing condition diagnostics

Kód výsledku v 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>

Nalezeny alternativní kódy

RIV/68407700:21730/22:00359884

Výsledek na webu

<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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Jazyk výsledku

angličtina

Název v původním jazyce

Using adaptive filters and artificial signal for spindle bearing condition diagnostics

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Using adaptive filters and artificial signal for spindle bearing condition diagnostics

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

20205 - Automation and control systems

Projekt

<a href="/cs/project/EF16_026%2F0008432" target="_blank" >EF16_026/0008432: Klastr 4.0 - Metodologie systémové integrace</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

8

Strana od-do

1-8

Název nakladatele

IIAV - International Institute of Acoustics and Vibration

Místo vydání

Auburn

Místo konání akce

Singapur

Datum konání akce

24. 7. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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