Publication detail
Using acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrains
MOHAMMAD, H. VLAŠIC, F. ŽÁČEK, J. MAYA, B. MAZAL, P.
English title
Using acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrains
Type
journal article in Web of Science
Language
en
Original abstract
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.
English abstract
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.
Keywords in English
Acoustic emission (AE); wind turbine (WT); main shaft bearing; condition monitoring (CM); dominant frequency (DF)
Released
23.11.2023
Publisher
TAYLOR & FRANCIS LTD
Location
ABINGDON
ISSN
1058-9759
Volume
23 Nov 202
Number
23 Nov 2023
Pages count
24
BIBTEX
@article{BUT186740,
author="Housam {Mohammad} and František {Vlašic} and Jiří {Žáček} and Baraah {Maya} and Pavel {Mazal},
title="Using acoustic emission for condition monitoring of the main shaft bearings in 4-point suspension wind turbine drivetrains",
year="2023",
volume="23 Nov 202",
number="23 Nov 2023",
month="November",
publisher="TAYLOR & FRANCIS LTD",
address="ABINGDON",
issn="1058-9759"
}