Basic algorithm for induction motors rotor faults pre-determination

A. Petrov, A. Rassõlkin, T. Vaimann, A. Belahcen, A. Kallaste, I. Plokhov

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)

Abstract

Due to importance of squirrel cage induction motor in today’s industry, the fault detection on that type of motors has become a highly developed area of interest for researchers. The electrical machine is designed for stable operations with minimum noise and vibrations under the normal conditions. When the fault emerges, some additional distortions appear. The necessity to detect the fault in an early stage, to prevent further damage of the equipment due to fault propagation, is one of the most important features of any condition monitoring or diagnostic techniques for electrical machines nowadays. In this paper possible induction motors faults classified and basic algorithm for rotor faults pre-determination is presented.

Original languageEnglish
Title of host publicationProceedings of the 11th International Scientific and Practical Conference
PublisherRezekne Higher Education Institution
Pages254-257
Number of pages4
Volume3
DOIs
Publication statusPublished - 2017
MoE publication typeA4 Article in a conference publication
EventInternational Scientific and Practical Conference - Rezekne, Latvia
Duration: 15 Jun 201717 Jun 2017
Conference number: 11

Publication series

NameVide. Tehnologija. Resursi - Environment, Technology, Resources
PublisherRezekne Higher Education Institution
ISSN (Print)1691-5402

Conference

ConferenceInternational Scientific and Practical Conference
CountryLatvia
CityRezekne
Period15/06/201717/06/2017

Keywords

  • Electric machines
  • Equivalent circuits
  • Fault diagnosis
  • Modeling

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