Reliable detection of broken rotor bars in induction motors via MUSIC and ZSC methods

Daniel Morinigo-Sotelo, Rene J. Romero-Troncoso, Jose A. Antonino-Daviu, Konstantinos N. Gyftakis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

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
Title of host publication2016 XXII International Conference on Electrical Machines (ICEM)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2881-2886
Number of pages6
ISBN (Electronic)9781509025381
DOIs
Publication statusPublished - 3 Nov 2016
Event22nd International Conference on Electrical Machines, ICEM 2016 - Lausanne, Switzerland
Duration: 4 Sept 20167 Sept 2016

Conference

Conference22nd International Conference on Electrical Machines, ICEM 2016
Country/TerritorySwitzerland
CityLausanne
Period4/09/167/09/16

Keywords / Materials (for Non-textual outputs)

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

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