<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Electrical, Control and Communication Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Digitalization of the industrial sector and Industry 4.0 have opened new horizons in many technical fields, including electrical machine diagnostics and...

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

Online veröffentlicht: 12. März 2019

Seitenbereich: 108 - 116

DOI: https://doi.org/10.2478/ecce-2018-0013

Schlüsselwörter
Fault diagnosis, Induction motors, Inverse problems

© 2018 Bilal Asad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Online veröffentlicht: 12. März 2019

Seitenbereich: 108 - 116

DOI: https://doi.org/10.2478/ecce-2018-0013

SchlüsselwörterFault diagnosis, Induction motors, Inverse problems

© 2018 Bilal Asad et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Schlüsselwörter
Fault diagnosis, Induction motors, Inverse problems