Reliable Detection of Broken Rotor Bars in Induction Motors via MUSIC and ZSC Methods

D. Morinigo-Sotelo, R. J. Romero-Troncoso, J. A. Antonino-Daviu, Konstantinos N. Gyftakis

Research output: Contribution to conferencePaper

4 Citations (Scopus)
139 Downloads (Pure)

Abstract

Induction motors are used in a variety of industrial applications where frequent startups are required. In those cases, it is necessary to apply sophisticated signal processing analysis methods in order to reliably follow the time evolution of the fault-related harmonics in the signal. In this paper, the zero-sequence current (ZSC) is analysed using the high-resolution spectral method of multiple signal classification (MUSIC). The analysis of the ZSC signal has proved to have several advantages over the analysis of a single-phase current waveform. Experimentation is performed on a healthy motor, a motor with one broken rotor bar, and a motor with two broken rotor bars. The analysis results are satisfactory since the proposed methodology reliably detects the broken rotor bar fault and its severity, both during transient and steady state operation of the induction motor.
Original languageEnglish
Pages2881-2886
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

Fingerprint

Induction motors
Rotors
Spectral resolution

Bibliographical note

© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

  • Broken bar
  • Fault diagnosis
  • Induction
  • motor
  • MUSIC
  • ZSC

Cite this

Morinigo-Sotelo, D., Romero-Troncoso, R. J., Antonino-Daviu, J. A., & Gyftakis, K. N. (2016). Reliable Detection of Broken Rotor Bars in Induction Motors via MUSIC and ZSC Methods. 2881-2886. Paper presented at XXIIth International Conference on Electrical Machines, Lausanne, Switzerland. https://doi.org/10.1109/ICELMACH.2016.7732932

Reliable Detection of Broken Rotor Bars in Induction Motors via MUSIC and ZSC Methods. / Morinigo-Sotelo, D.; Romero-Troncoso, R. J.; Antonino-Daviu, J. A.; Gyftakis, Konstantinos N.

2016. 2881-2886 Paper presented at XXIIth International Conference on Electrical Machines, Lausanne, Switzerland.

Research output: Contribution to conferencePaper

Morinigo-Sotelo, D, Romero-Troncoso, RJ, Antonino-Daviu, JA & Gyftakis, KN 2016, 'Reliable Detection of Broken Rotor Bars in Induction Motors via MUSIC and ZSC Methods' Paper presented at XXIIth International Conference on Electrical Machines, Lausanne, Switzerland, 4/09/16 - 7/09/16, pp. 2881-2886. https://doi.org/10.1109/ICELMACH.2016.7732932
Morinigo-Sotelo D, Romero-Troncoso RJ, Antonino-Daviu JA, Gyftakis KN. Reliable Detection of Broken Rotor Bars in Induction Motors via MUSIC and ZSC Methods. 2016. Paper presented at XXIIth International Conference on Electrical Machines, Lausanne, Switzerland. https://doi.org/10.1109/ICELMACH.2016.7732932
Morinigo-Sotelo, D. ; Romero-Troncoso, R. J. ; Antonino-Daviu, J. A. ; Gyftakis, Konstantinos N. / Reliable Detection of Broken Rotor Bars in Induction Motors via MUSIC and ZSC Methods. Paper presented at XXIIth International Conference on Electrical Machines, Lausanne, Switzerland.
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