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

Authors

  • Bilal Asad Tallinn University of Technology
  • Toomas Vaimann Tallinn University of Technology
  • Anton Rassõlkin Tallinn University of Technology
  • Ants Kallaste Tallinn University of Technology
  • Anouar Belahcen Tallinn University of Technology

DOI:

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

Keywords:

Fault diagnosis, Induction motors, Inverse problems

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.

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2018-12-01

How to Cite

Asad, B., Vaimann, T., Rassõlkin, A., Kallaste, A., & Belahcen, A. (2018). Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0. Electrical, Control and Communication Engineering, 14(2), 108-116. https://doi.org/10.2478/ecce-2018-0013