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Wind Energy Science The interactive open-access journal of the European Academy of Wind Energy
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Roller bearing failures in wind turbines gearboxes lead to long downtimes and high repairing costs. This paper should form a basis for the implementation of a predictive maintenance system. Therefore an acoustic emission based condition monitoring system is applied to roller bearing test rigs. The system has shown, that a damaged surface can be detected at least ~ 4 % (8 hours, regarding the time to failure) and possibly up to ~ 50 % (130 hours) earlier than by using the vibration based system.
Preprints
https://doi.org/10.5194/wes-2020-39
https://doi.org/10.5194/wes-2020-39

  14 Feb 2020

14 Feb 2020

Review status: a revised version of this preprint was accepted for the journal WES and is expected to appear here in due course.

Condition Monitoring of roller bearings using Acoustic Emission

Daniel Cornel, Francisco Gutiérrez Guzmán, Georg Jacobs, and Stephan Neumann Daniel Cornel et al.
  • Chair for Wind Power Drives (CWD), RWTH Aachen University, Aachen, 52074, Germany

Abstract. Roller bearing failures in wind turbines gearboxes lead to long downtimes and high repairing costs, which could be reduced by the implementation of a predictive maintenance strategy. In this paper and within this context an acoustic emission based condition monitoring system is applied to roller bearing test rigs with the aim of identifying critical operating conditions before bearing failures occurs. Furthermore, a comparison regarding detection times is carried out with a traditional vibration based condition monitoring systems, with focus on premature bearing failures such as white etching cracks. The investigations show a sensitivity of the acoustic emission system towards lubricating conditions. In addition, the system has shown, that a damaged surface can be detected at least ~ 4 % (8 hours, regarding the time to failure) earlier than by using the vibration based system. Furthermore, significant deviations from the average acoustic emission signal were detected up to ~ 50 % (130 hours) before the test stop and are possibly related to sub-surface damage initiation and might result in an earlier damage detection in the future.

Daniel Cornel et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Daniel Cornel et al.

Daniel Cornel et al.

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Short summary
Roller bearing failures in wind turbines gearboxes lead to long downtimes and high repairing costs. This paper should form a basis for the implementation of a predictive maintenance system. Therefore an acoustic emission based condition monitoring system is applied to roller bearing test rigs. The system has shown, that a damaged surface can be detected at least ~ 4 % (8 hours, regarding the time to failure) and possibly up to ~ 50 % (130 hours) earlier than by using the vibration based system.
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