Condition monitoring of roller bearings using acoustic emission

Cornel, Daniel; Gutiérrez Guzmán, Francisco; Jacobs, Georg; Neumann, Stephan

doi:https://doi.org/10.5194/wes-6-367-2021

Articles | Volume 6, issue 2

https://doi.org/10.5194/wes-6-367-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Wind Energy Science Conference 2019

https://doi.org/10.5194/wes-6-367-2021

© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 6, issue 2

Research article

|

05 Mar 2021

Research article |

| 05 Mar 2021

Condition monitoring of roller bearings using acoustic emission

Daniel Cornel, Francisco Gutiérrez Guzmán, Georg Jacobs, and Stephan Neumann

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Final revised paper (published on 05 Mar 2021)
Preprint (discussion started on 14 Feb 2020)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'comments', Anonymous Referee #1, 23 Mar 2020
- SC1: 'Response to RC1', Daniel Cornel, 04 May 2020
RC2: 'Marked up-manuscript', Anonymous Referee #2, 14 Sep 2020
- AC1: 'Response to RC2', Daniel Cornel, 16 Sep 2020

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Daniel Cornel on behalf of the Authors (27 Oct 2020) Author's response Manuscript

ED: Referee Nomination & Report Request started (03 Nov 2020) by Raimund Rolfes

RR by Anonymous Referee #3 (14 Nov 2020)

RR by Anonymous Referee #2 (26 Nov 2020)

ED: Publish as is (29 Dec 2020) by Raimund Rolfes

ED: Publish as is (03 Jan 2021) by Gerard J.W. van Bussel (Chief editor)

AR by Daniel Cornel on behalf of the Authors (05 Jan 2021)

Short summary

Roller bearing failures in wind turbines' gearboxes lead to long downtimes and high repair 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 h, regarding the time to failure) and possibly up to ~ 50 % (130 h) earlier than by using the vibration-based system.