On the different magneto-mechanical waves in faulty induction motors

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Belahcen, Anouar, Assistant Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.contributor.author Martinez, Javier
dc.date.accessioned 2016-03-23T10:01:05Z
dc.date.available 2016-03-23T10:01:05Z
dc.date.issued 2015
dc.identifier.isbn 978-952-60-6321-8 (electronic)
dc.identifier.isbn 978-952-60-6320-1 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/19854
dc.description Julkaistu vain painettuna, saatavuus katso Bibid. Published only in printed form, availability see Bibid
dc.description.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. en
dc.format.extent 176
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 109/2015
dc.relation.haspart [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 en
dc.relation.haspart [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.
dc.relation.haspart [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
dc.relation.haspart [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.
dc.relation.haspart [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
dc.relation.haspart [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
dc.subject.other Electrical engineering en
dc.title On the different magneto-mechanical waves in faulty induction motors en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Sähkötekniikan korkeakoulu fi
dc.contributor.school School of Electrical Engineering en
dc.contributor.department Sähkötekniikan ja automaation laitos fi
dc.contributor.department Department of Electrical Engineering and Automation en
dc.subject.keyword induction motor en
dc.subject.keyword Finite Element Model en
dc.subject.keyword permeance model en
dc.subject.keyword broken bar en
dc.subject.keyword inter-turn short circuit en
dc.subject.keyword dynamic eccentricity en
dc.subject.keyword digital signal processing en
dc.subject.keyword multi-dimensional analysis en
dc.identifier.urn URN:ISBN:978-952-60-6321-8
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Arkkio, Antero, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.opn Marques Cardoso, Antonio J., Prof., University of Beira Interior, Portugal
dc.contributor.lab Electromechanics en
dc.contributor.lab Sähkömekaniikka fi
dc.rev Benbouzid, Mohamed, Prof., Brest University, France
dc.rev Joksimović, Gojko, Prof. Dr, University of Montenegro, Montenegro
dc.date.defence 2015-10-09
dc.identifier.bibid 720919


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