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.

Original 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

English

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.

Keywords

Acoustic emission (AE); wind turbine (WT); main shaft bearing; condition monitoring (CM); dominant frequency (DF)

Authors

MOHAMMAD, H.; VLAŠIC, F.; ŽÁČEK, J.; MAYA, B.; MAZAL, P.

Released

23. 11. 2023

Publisher

TAYLOR & FRANCIS LTD

Location

ABINGDON

ISBN

1058-9759

Periodical

Nondestructive Testing and Evaluation

Year of study

23 Nov 202

Number

23 Nov 2023

State

United Kingdom of Great Britain and Northern Ireland

Pages count

24

URL

Full text in the Digital Library

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",
  journal="Nondestructive Testing and Evaluation",
  year="2023",
  volume="23 Nov 202",
  number="23 Nov 2023",
  pages="24",
  doi="10.1080/10589759.2023.2283511",
  issn="1058-9759",
  url="https://www.tandfonline.com/doi/full/10.1080/10589759.2023.2283511"
}