New method for condition monitoring of low-speed bearings using peak frequency of acoustic emission hits
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F26%3A0200556" target="_blank" >RIV/00216305:26210/26:0200556 - isvavai.cz</a>
Result on the web
<a href="https://www.ingentaconnect.com/content/bindt/insight/2025/00000067/00000008/art00006" target="_blank" >https://www.ingentaconnect.com/content/bindt/insight/2025/00000067/00000008/art00006</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1784/insi.2025.67.8.481" target="_blank" >10.1784/insi.2025.67.8.481</a>
Alternative languages
Result language
angličtina
Original language name
New method for condition monitoring of low-speed bearings using peak frequency of acoustic emission hits
Original language description
The continuous advancement of wind power technology highlights the critical importance of condition monitoring (CM) for maintaining operational performance. Among the vital components in wind turbine (WT) systems, main shaft bearings have emerged as the most critical, especially with the ongoing trend towards larger and heavier rotors. This paper introduces a new approach to monitoring the condition of the main shaft bearings in a WT with a two-point suspension drivetrain, using acoustic emission (AE). The measurements take place in a real-life setting where AE signals are detected, transmitted to an AE analyser and translated to a PC for initial analysis and storage. This system is fixed securely inside the WT nacelle, while wirelessly connected to the internet, and is thus accessible at any time from any device. Further analysis of the recorded AEsignals takes place in the laboratory, where the analysis focuses on the frequency domain of the AE hits. The Welch method is used for transforming the signal to the frequency domain because of its superior spectral accuracy and computational efficiency. It enables fast identification of the peak frequency (PF) for each AE hit and these frequencies are mapped over specific time segments, generating a 'PF distribution plot'.These plots are combined into an overlay for a comprehensive assessment of the bearing condition. Results reveal distinct PF bands in the distribution plots, correlating with bearing condition. The proposed approach offers simplicity and the potential for automation, facilitating seamless integration into a future predictive maintenance plan for WTs.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20301 - Mechanical engineering
Result continuities
Project
<a href="/en/project/TN02000010" target="_blank" >TN02000010: National Competence Centre of Mechatronics and Smart Technologies for Mechanical Engineering</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
INSIGHT
ISSN
1354-2575
e-ISSN
1754-4904
Volume of the periodical
67
Issue of the periodical within the volume
8
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
1-10
UT code for WoS article
001567757700007
EID of the result in the Scopus database
2-s2.0-105014214881