Induction motor broken bar fault detection based on MCSA, MSCSA and PCA: A comparative study

V. Fernao Pires, J. F. Martins, A. J. Pires, Leao Rodrigues

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

5 Citations (Scopus)

Abstract

The early failure detection of induction motors is considered very important in order to ensure their stability and high performance. Thus, condition monitoring of these motors are essential to ensure that. However, the effectiveness of the fault diagnosis depends on the quality of the fault features selection that is used in the adopted method. In this way, this paper will present a comparative study of three methods based on the electrical signal analysis. The first one is the most known method, motor current signature analysis (MCSA). Another method based on the analysis of spectral current, is the motor square current signature analysis (MSCSA), will also be used. Finally a third method based on principal component analysis (PCA) is also used. The performance of the methods is tested under different fault and load conditions. Experimental results are presented in order to compare the performance between the three methods.

Original languageEnglish
Title of host publicationProceedings - 2016 10th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages298-303
Number of pages6
ISBN (Electronic)978-146737293-0
DOIs
Publication statusPublished - 15 Aug 2016
Event10th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2016 - Bydgoszcz, Poland
Duration: 29 Jun 20161 Jul 2016

Conference

Conference10th International Conference on Compatibility, Power Electronics and Power Engineering, CPE-POWERENG 2016
CountryPoland
CityBydgoszcz
Period29/06/161/07/16

Keywords

  • fault detection
  • Induction motor
  • MCSA
  • MSCSA
  • PCA
  • Rotor broken bar

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