On the different magneto-mechanical waves in faulty induction motors

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School of Electrical Engineering | Doctoral thesis (article-based) | Defence date: 2015-10-09
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Date

2015

Department

Sähkötekniikan ja automaation laitos
Department of Electrical Engineering and Automation

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Mcode

Degree programme

Language

en

Pages

176

Series

Aalto University publication series DOCTORAL DISSERTATIONS, 109/2015

Abstract

This thesis deals with the modelling and characterization of different faults existing in induction motors. The faults considered in this thesis are broken bars, inter-turn short circuit and dynamic eccentricity. The reason of choosing these faults is because they are the most common source of problems for this type of motor.The thesis provides a set of both analytical and computational models. The analytical models are derived using permeance functions while the computational models are using the Finite Element method. The analytical model is used to quickly determine the set of existing magneto-mechanical waves in the air-gap of the induction motor. The computational models allow us to observe physical fields that are difficult to be tested experimentally with a high degree of accuracy. The thesis also includes a third section that explains the set of signal processing techniques applied to analyse the set of time-series of faulty induction motor. Using the former set of methods, I have been able to make the following achievements in the field of diagnosis. Firstly, I have been studying the relationship between broken bar fault and the interaction existing between saturation harmonics and torque ripples. Secondly, I have been studying the interaction between skew in induction motors and the magnitude of the saturation harmonics existing in the stator currents. Thirdly, I have been able to successfully model a motor suffering from eccentricity using Arbitrary Lagrangian Eulerian description of magnetic fields. This computational model, together with a permeance model, was able to justify the existing limitation of stator current analysis in induction motors. This limitation can lead to ambiguity diagnosis when using stator current analysis. To overcome this situation, the author suggest multidimensional spectral analysis to infer the existing waves in the air-gap. Finally, the author implements spectral estimators to improve the detection of the different faults.

Description

Julkaistu vain painettuna, saatavuus katso Bibid. Published only in printed form, availability see Bibid

Supervising professor

Arkkio, Antero, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland

Thesis advisor

Belahcen, Anouar, Assistant Prof., Aalto University, Department of Electrical Engineering and Automation, Finland

Keywords

induction motor, Finite Element Model, permeance model, broken bar, inter-turn short circuit, dynamic eccentricity, digital signal processing, multi-dimensional analysis

Other note

Parts

  • [Publication 1]: J. Martinez, A. Belahcen and A. Arkkio. A 2D FEM Model for Transient and Fault Analysis of Induction Machines. Przeglad Elektrotechniczny, Vol. 88, No. 7B, pp. 157-160, 2012
  • [Publication 2]: J. Martinez, A. Belahcen and A. Arkkio. Broken bar indicators for cage induction motors and their relationship with the number of consecutive broken bars. IET Electric Power Applications, Vol. 7, Iss. 8, pp. 633-642, April 2013.
  • [Publication 3]: J. Martinez, A. Belahcen, J. Detoni and Antero Arkkio. A 2D-FEM analysis of electromechanical signatures in induction motors under dynamic eccentricity. International Journal of Numerical Modelling: Electronic networks, devices and fields, Vol. 27, Issue 3, pp. 555-571, August 2013.
    DOI: 10.1002/jnm.1942 View at publisher
  • [Publication 4]: J. Martinez, A. Belahcen and A. Arkkio. A 3D permeance model of induction machines taking into account saturation effects and its connection with stator current and shaft speed spectra. IET Electric Power Applications, Vol. 9, Issue 1, pp. 20-29, January 2015.
  • [Publication 5]: J. Martinez, F. Philipp, M. Glessner and A. Arkkio. An accurate and fast technique for correcting spectral leakage in motor diagnosis. In 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED),
    DOI: 10.1109/DEMPED.2013.6645719, Valencia, 215-220, August 2013 View at publisher
  • [Publication 6]: J. Martinez, A. Belahcen and A. Arkkio. Combined FE and Two Dimensional Spectral Analysis of Broken Cage Faults in Induction Motors. In 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013, Vienna, 2674 - 2679,
    DOI: 10.1109/IECON.2013.6699553, ISSN=:1553-572X, November 2013 View at publisher

Citation

Permanent link to this item

https://urn.fi/URN:ISBN:978-952-60-6321-8

Collections

[diss] Sähkötekniikan korkeakoulu / ELEC