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

Electrical, Control and Communication Engineering 2018
Bilal Asad, Toomas Waimann, Anton Rassolkin, Ants Kallaste, Anouar Belahcen

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.

Atslēgas vārdi
Fault diagnosis; Induction motors; Inverse problems
DOI
10.2478/ecce-2018-0013

Asad, B., Waimann, T., Rassolkin, A., Kallaste, A., Belahcen, A. Review of Electrical Machine Diagnostic Methods Applicability in the Perspective of Industry 4.0. Electrical, Control and Communication Engineering, 2018, Vol.14, No.2, 108.-116.lpp. ISSN 2255-9140. e-ISSN 2255-9159. Pieejams: doi:10.2478/ecce-2018-0013

Publikācijas valoda
English (en)