Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

Bilal Asad; Toomas Vaimann; Anton Rassõlkin; Ants Kallaste; Anouar Belahcen

doi:10.2478/ecce-2018-0013

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Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0

Electrical, Control and Communication Engineering

Volume 14 (2018): Issue 2 (December 2018)

By: Bilal Asad, Toomas Vaimann, Anton Rassõlkin, Ants Kallaste and Anouar Belahcen

Open Access

|Mar 2019

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DOI: https://doi.org/10.2478/ecce-2018-0013 | Journal eISSN: 2255-9159

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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.

Volume 14 (2018): Issue 2 (December 2018)