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

Bilal Asad, Toomas Vaimann*, Anton Rassõlkin, Ants Kallaste, Anouar Belahcen

*Corresponding author for this work

Research output: Contribution to journalReview Articlepeer-review

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.

Original languageEnglish
Pages (from-to)108-116
Number of pages9
JournalELECTRICAL, CONTROL AND COMMUNICATION ENGINEERING
Volume14
Issue number2
DOIs
Publication statusPublished - 2019
MoE publication typeA2 Review article in a scientific journal

Keywords

  • Fault diagnosis
  • Induction motors
  • Inverse problems
  • BROKEN ROTOR BARS
  • MAGNETIC MATERIAL CHARACTERIZATION
  • DISCRETE WAVELET TRANSFORM
  • INDUCTION-MOTORS
  • FAULT-DETECTION
  • FINITE-ELEMENT
  • INVERSE PROBLEMS
  • SIGNAL
  • CLASSIFICATION
  • ESPRIT

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