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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Cited articles

Al-Ghamd, A. M. and Mba, D.: A comparative experimental study on the use of acoustic emission and vibration analysis for bearing defect identification and estimation of defect size, Mech. Syst. and Signal Pr., 20, 1537–1571,, 2006. 
Barteldes, S., Walther, F., and Holweger, W.: Wälzlagerdiagnose und Detektion von WEC mit Barkhausen-Rauschen und Hochfrequenz-Impuls-Messung,, 2014. 
Bongardt, C.: Wälzlagergraufleckigkeit, Dissertation, Verlagsgruppe Mainz GmbH, Aachen, ISBN 978-3-95886-089-6, 2015. 
Bruzelius, K. and Mba, D.: An initial investigation on the potential applicability of Acoustic Emission to rail track fault detection, NDT&E Int., 37, 507–516,, 2004. 
Caesarendra, W., Kosasih, B., Tieu, A. K., Zhu, H., Moodie, C. A. S., and Zhu, Q.: Acoustic emission-based condition monitoring methods: Review and application for low speed slew bearing, Mech. Syst. Signal Pr., 72–73, 134–159,, 2016. 
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.