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Effectiveness Analysis of Rolling Bearing Fault Detectors Based On Self-Organising Kohonen Neural Network – A Case Study of PMSM Drive

Kamila Jankowska

Kamila Jankowska

Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and TechnologyPoland
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Jankowska, Kamila
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Pawel Ewert

Pawel Ewert

Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and TechnologyPoland
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Ewert, Pawel
  
Jul 23, 2021
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Published Online: Jul 23, 2021
Page range: 100 - 112
Received: May 14, 2021
Accepted: Jul 01, 2021
DOI: https://doi.org/10.2478/pead-2021-0008
Keywords
© 2021 Kamila Jankowska et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Jankowska, Kamila
Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and TechnologyPoland
Ewert, Pawel
Department of Electrical Machines, Drives and Measurements, Wroclaw University of Science and TechnologyPoland
Language:
English
Publication timeframe:
1 times per year
Journal Subjects:
Computer Sciences, Artificial Intelligence, Engineering, Electrical Engineering, Electronics
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