TU Berlin

Chair of Electronic Measurement and
Diagnostic Technology
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Publications from the Chair of Electronic Measurement and Diagnostic Technology

Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM)
Citation key RussellSabir.2021b
Author Sabir, Russell and Rosato, Daniele and Hartmann, Sven and Gühmann, Clemens
Title of Book Deep learning applications
Pages 81–99
Year 2021
ISBN 978-981-15-6758-2
DOI \url10.1007/978-981-15-6759-94
Address Singapore
Editor Wani, M. A. and Khoshgoftaar, Taghi M. and Palade, Vasile
Publisher Springer
Series Advances in Intelligent Systems and Computing Ser
Abstract Request PDF | Diagnosis of Bearing Faults in Electrical Machines Using Long Short-Term Memory (LSTM) | Rolling element bearings are very important components in electrical machines. Almost 50% of the faults that occur in the electrical machines... | Find, read and cite all the research you need on ResearchGate
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