Detection of natural crack in wind turbine gearbox

Simple item page
dc.contributor.authorShanbr, Suliman
dc.contributor.authorElasha, Faris
dc.contributor.authorElforjani, Mohamed
dc.contributor.authorTeixeira, Joao Amaral
dc.date.accessioned2018-01-08T16:43:45Z
dc.date.available2018-01-08T16:43:45Z
dc.date.issued2017-10-30
dc.description.abstractOne of the most challenging scenarios in bearing diagnosis is the extraction of fault signatures from within other strong components which mask the vibration signal. Usually, the bearing vibration signals are dominated by those of other components such as gears and shafts. A good example of this scenario is the wind turbine gearbox which presents one of the most difficult bearing detection tasks. The non-stationary signal analysis is considered one of the main topics in the field of machinery fault diagnosis. In this paper, a set of signal processing techniques has been studied to investigate their feasibility for bearing fault detection in wind turbine gearbox. These techniques include statistical condition indicators, spectral kurtosis, and envelope analysis. The results of vibration analysis showed the possibility of bearing fault detection in wind turbine high-speed shafts using multiple signal processing techniques. However, among these signal processing techniques, spectral kurtosis followed by envelope analysis provides early fault detection compared to the other techniques employed. In addition, outer race bearing fault indicator provides clear indication of the crack severity and progress.en_UK
dc.identifier.citationShanbr S, Elasha F, Elforjani N, Teixeira J. (2018) Detection of natural crack in wind turbine gearbox, Renewable Energy, Volume 118, April 2018, pp. 172-179en_UK
dc.identifier.cris18903657
dc.identifier.issn0960-1481
dc.identifier.urihttp://dx.doi.org/10.1016/j.renene.2017.10.104
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/12864
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCondition monitoringen_UK
dc.subjectVibrationen_UK
dc.subjectNatural cracksen_UK
dc.subjectRotating machineryen_UK
dc.subjectSignal processingen_UK
dc.titleDetection of natural crack in wind turbine gearboxen_UK
dc.typeArticleen_UK

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Detection_of_natural_crack_in_wind_turbine_gearbox-2017.pdf
Size:
983.42 KB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.63 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Staff publications (SWEE)