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

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

Open Access
|Mar 2019

Abstract

Digitalization of the industrial sector and Industry 4.0 have opened new horizons in many technical fields, including electrical machine diagnostics and operation, as well as machine condition monitoring. This paper addresses a selection of electrical machine diagnostics methods that are applicable for the use in the perspective of Industry 4.0, to be used in hand with cloud environments and the possibilities granted by the Internet of Things. The need for further research and development in the field is pointed out. Some potentially applicable future approaches are presented.

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 times per year

© 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.