A Reliable Indicator to Detect Non-Adjacent Broken Rotor Bars Severity in Induction Motors

Kostas N. Gyftakis, J. A. Antonino-Daviu, A. J. Marques Cardoso

Research output: Contribution to conferencePaper

9 Citations (Scopus)
39 Downloads (Pure)

Abstract

The reliable diagnostic of non-adjacent rotor bar breakages in induction motors based on the analysis of currents is still an unsolved industrial problem. The traditional MCSA has not proven to be robust enough for assessing the rotor condition under this situation; this is due to the fact that the joint effect of breakages located at certain relative positions can be subtractive rather than additive, leading to decrements in the fault harmonics amplitudes rather than incrementing them. This work takes advantage of the potential of the novel Filtered Park’s/Extended Park’s Vector Approach (FPVA/FEPVA); this method has proven to overcome some constraints of the traditional Park’s Vector-based methods: in this work, it is proven how this method can also reliably assess the rotor condition even if non-adjacent breakages are present. The userfriendly results obtained with the method confer it a great potential for its future implementation in autonomous fault diagnosis devices.
Original languageEnglish
Pages2910 - 2916
DOIs
Publication statusPublished - 3 Nov 2016
EventXXIIth International Conference on Electrical Machines - Lausanne, Switzerland
Duration: 4 Sep 20167 Sep 2016

Conference

ConferenceXXIIth International Conference on Electrical Machines
Abbreviated titleICEM'2016
CountrySwitzerland
CityLausanne
Period4/09/167/09/16

Bibliographical note

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Keywords

  • Induction Motors
  • Fault Diagnosis
  • Broken
  • Rotor Bars
  • Park’s Vector

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    Gyftakis, K. N., Antonino-Daviu, J. A., & Marques Cardoso, A. J. (2016). A Reliable Indicator to Detect Non-Adjacent Broken Rotor Bars Severity in Induction Motors. 2910 - 2916. Paper presented at XXIIth International Conference on Electrical Machines, Lausanne, Switzerland. https://doi.org/10.1109/ICELMACH.2016.7732937