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%0 Journal Article
%A König, Florian
%A Sous, Christopher
%A Ouald Chaib, Achraf
%A Jacobs, Georg
%T Machine learning based anomaly detection and classification of acoustic emission events for wear monitoring in sliding bearing systems
%J Tribology international
%V 155
%@ 0301-679X
%C Amsterdam [u.a.]
%I Elsevier Science
%M RWTH-2021-00381
%P 106811
%D 2021
%Z Received 8 October 2020, Revised 28 November 2020, Accepted 30 November 2020, Available online 3 December 2020
%F PUB:(DE-HGF)16
%9 Journal Article
%U <Go to ISI:>//WOS:000612137700002
%R 10.1016/j.triboint.2020.106811
%U https://publications.rwth-aachen.de/record/810083