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

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

Research output: Contribution to journalArticle

23 Citations (Scopus)
49 Downloads (Pure)

Abstract

Induction motors are used in a variety of industrial applications where frequent startup cycles 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. The method is validated through simulation and experimental results. The simulations are carried out for a 1.1 MW and a 4kW induction motors under finite element analysis (FEA). 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.

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Original languageEnglish
Pages (from-to)1224 - 1234
Number of pages11
JournalIEEE Transactions on Industry Applications
Volume54
Issue number2
Early online date19 Oct 2017
DOIs
Publication statusPublished - Mar 2018

Keywords

  • Induction motors
  • Rotors
  • Bars
  • Harmonic analysis
  • Multiple signal classification
  • Transient analysis
  • Stator windings
  • Broken bar
  • Fault diagnosis
  • Induction motor
  • MUSIC
  • ZSC

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