Using acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrains

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F23%3APU149904" target="_blank" >RIV/00216305:26210/23:PU149904 - isvavai.cz</a>

Result on the web

<a href="https://www.tandfonline.com/doi/full/10.1080/10589759.2023.2283511" target="_blank" >https://www.tandfonline.com/doi/full/10.1080/10589759.2023.2283511</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/10589759.2023.2283511" target="_blank" >10.1080/10589759.2023.2283511</a>

Result language

angličtina

Original language name

Using acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrains

Original language description

The continuous growth of wind power technology makes condition monitoring of wind turbine components crucially important for their operational efficiency. The main shaft bearings in wind turbines have been identified as one of the most critical components in the system, especially with the ongoing increase in rotor size and weight. This increase made the 4-point suspension drivetrain more preferable. In this study, we present a novel approach for condition monitoring of the main shaft bearings in a 2 Megawatt wind turbine with 4-point suspension drivetrain using primarily acoustic emission (AE). The focus was on the analysis of time and frequency domains of the AE signal, where the dominant frequency of each AE hit was identified and plotted back in the time domain to create the so-called dominant frequency map in specific time intervals for each bearing. A comparison between the two dominant frequency maps of the two bearings gives valuable insights into the condition of the two bearings. The distinctive nature of the dominant frequency bands in the dominant frequency maps presented promising potential for this method. The presented method is straightforward and can be automated and then integrated into a planned predictive maintenance programme for this wind turbine.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

20501 - Materials engineering

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)

Publication year

2023

Confidentiality

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

Name of the periodical

Nondestructive Testing and Evaluation

ISSN

1058-9759

e-ISSN

1477-2671

Volume of the periodical

23 Nov 202

Issue of the periodical within the volume

23 Nov 2023

Country of publishing house

GB - UNITED KINGDOM

Number of pages

24

Pages from-to

„“-„“

UT code for WoS article

001108119400001

EID of the result in the Scopus database

2-s2.0-85177578054