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%0 Journal Article
%A König, Florian
%A Marheineke, Jonas
%A Jacobs, Georg
%A Sous, Christopher
%A Zuo, Ming J.
%A Tian, Zhigang
%T Data-driven wear monitoring for sliding bearings using acoustic emission signals and long short-term memory neural networks
%J Wear
%V 476
%@ 0043-1648
%C Amsterdam [u.a.]
%I Elsevier Science
%M RWTH-2021-01690
%P 203616
%D 2021
%Z Available online 8 January 2021
%B 23. International Conference on Wear of Materials
%C 26 Apr 2021 - 29 Apr 2021, online ()
Y2 26 Apr 2021 - 29 Apr 2021
M2 online, 
%F PUB:(DE-HGF)16 ; PUB:(DE-HGF)8
%9 Journal ArticleContribution to a conference proceedings
%U <Go to ISI:>//WOS:000679113000004
%R 10.1016/j.wear.2021.203616
%U https://publications.rwth-aachen.de/record/812125