Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0
DOI: https://doi.org/10.2478/ecce-2018-0013 | Journal eISSN: 2255-9159
Language: English
Page range: 108 - 116
Published on: Mar 12, 2019
Published by: Riga Technical University
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
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© 2019 Bilal Asad, Toomas Vaimann, Anton Rassõlkin, Ants Kallaste, Anouar Belahcen, published by Riga Technical University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.