TÉCNICAS DE PROCESAMIENTO DE SEÑALES UTILIZADAS PARA EL ANÁLISIS DE LA DISTORSIÓN ARMÓNICA GENERADA POR VARIADORES DE FRECUENCIA EN MOTORES DE INDUCCIÓN

  • Manuel Ivan Balleteros Csmcho Universidad Distrital Francisco Jose de Caldas
  • Francy Julieth Cadena Villalba Universidad Distrital Francisco Jose de Caldas
  • Adolfo Andres Jaramillo Matta Universidad Distrital Francisco Jose de Caldas
Palabras clave: accionamientos eléctricos, control de velocidad, estado del arte, perturbaciones armónicas, técnicas de procesamiento de señales (es_ES)

Resumen (es_ES)

Se presenta una detallada revisión del estado del arte de las técnicas de procesamiento de señales utilizadas para el análisis de la distorsión armónica generada por variadores de frecuencia en motores de inducción con rotor jaula de ardilla, referenciando algunas de las investigaciones más relevantes relacionadas con este tema. Finalmente, son identificadas oportunidades de investigación que a la fecha no han sido tratadas por la comunidad científica en este campo del conocimiento.

Signal Processing Techniques Used for Analyzing Harmonic Distortion Generated by Variable Frequency Drive in Induction Motors 

Abstract

This article presents a detailed review of the state of the art of signal processing techniques used for the analysis of harmonic distortion generated by variable frequency induction motors with squirrel cage rotor is presented, referencing some of the most relevant research related with this issue. Finally, are identified research opportunities that to date have not been addressed by the scientific community in this field of knowledge.

Keywords: electric motor-driven system, state of the art, harmonic distortion, signal processing techniques.

Descargas

La descarga de datos todavía no está disponible.

Biografía del autor/a

Manuel Ivan Balleteros Csmcho, Universidad Distrital Francisco Jose de Caldas
Departamento de cundinamarca- ciudad de Bogota D.C.

Referencias

L. Peñalba and J. Pardo, “Gestión Energética de los motores eléctricos: mejora de la eficiencia de los accionamientos con el uso de variadores de velocidad”. Santander, España: Departamento de Ingeniería Eléctrica y Energética, E.T.S.I.I. y T., Universidad de Cantabria, p. 8, Consultado el 19 de diciembre de 2014 .

M. Castelli, J. Fossati and M. Andrade, “Metodología de monitoreo, detección de fallos y diagnóstico en motores asíncronos”. IEEE, 7º encuentro de Energía, Potencia, Instrumentación y Medidas, pp. 91-98, 2008.

WEG, Guía Técnica-Motores de inducción alimentados por convertidores de frecuencia PWM, 2010, [en línea], Consultado el 8 de enero de 2015, disponible en: http://ecatalog.weg.net/files/wegnet/WEG-motores-de-inducción-alimentados-por-convertidores-de-velocidad-pwm-029-articulo-tecnico¬espanol.pdf

Sekar, T.C. and Rabi, B.J. “A Review and Study of Harmonic Mitigation Techniques”. Emerging Trends in Electrical Engineering and Energy Management (ICETEEEM), 2012 International Conference on, vol., no., pp.93-97, 2012, doi: 10.1109/ICETEEEM.2012.6494450.

Reid, W.E. “Power Quality ISSues-Standards and Guidelines”. IEEE Transactions on Industry Applications Conference, vol. 32, pp. 625-632, 1996, doi: 10.1109/28.502175.

CIRCUTOR, Procedimientos para el estudio y análisis de perturbaciones armónicas. Viladecavalls -España, p. 20, 2009.

C. Torres, Análisis, descripción y comparación de los métodos de Fourier y Wavelet aplicados a la identificación de características dinámicas en estructuras. Tesis de pregrado, Bucaramanga, Universidad Industrial de Santander, Facultad de físico-mecánicas, 2011.

N. Nieto and D. Orozco, “The use of the discrete Wavelet transform in the reconstruction of sinusoidal signals”. Scientia et Technica-XIV, vol. 38, pp. 381-386, 2008.

L. Martínez, Computación paralela de la transformada Wavelet; aplicaciones de la Transformada Wavelet al álgebra lineal numérica. Tesis Doctoral, Valencia, Universidad Politécnica de valencia, Departamento de Sistemas Informáticos, 2009.

O. Rioul and M. Vetterli, “Wavelets and Signal Processing”. IEEE SP Magazine, vol. 8, pp. 14 -38, 1991.

E. Rivas, Detección de averías en cambiadores de tomas en carga de transformadores basado en el patrón de vibraciones. Tesis doctoral, Madrid, Universidad Carlos III Departamentos de ingeniería eléctrica e ingeniería mecánica, 2009.

A. Ferrah, K. Bradley and G. Asher, “Application of the FFT to the speed measurement of inverter fed induction motors”. Instrumentation and Measurement Technology Conference (IMTC '92), 9th IEEE, pp. 647-652, 1992, doi: 10.1109/IMTC.1992.245059.

A. Ferrah, K. Bradley and G. Asher, “Sensorless speed detection of inverter fed induction motors using rotor slot harmonics and fast fourier transform”. Power Electronics Specialists Conference, IEEE, vol. 1, pp. 279-286, 1992.

R. Blasco, M. Sumner and G. M. Asher, “Speed measurement of inverter fed induction motors using the FFT and the rotor slot harmonics”. Power Electronics and Variable-Speed Drives, 1994. Fifth International Conference on , vol., no., pp.470-475, 1994

doi: 10.1049/cp:19941011.

R. Blasco-Giménez, G. Asher, M. Sumner and K. Bradley, “Performance of FFT¬rotor slot harmonic speed detector for sensorless induction motor drives”. Electric Power Applications, IEE Proceedings, vol. 43, pp. 258-268, 1996, doi: 10.1049/ip-epa:19960241.

M. Benbouzid, H. Nejjari, R. Beguenane and M. Vieira, “Induction Motor Asymmetrical Faults Detection Using Advanced Signal Processing Techniques”. Energy Conversion, IEEE, vol. 14, pp. 147-152, 1999, doi: 10.1109/60.766963.

B. Ayhan, M.-Y. Chow, H. Trussell and M.-H. Song, “A case study on the comparison of non-parametric spectrum methods for broken rotor bar fault detection”. Industrial Electronics Society, IECON '03. The 29th Annual Conference of the IEEE, vol. 3, pp. 2835-2840, 2003, doi: 10.1109/IECON.2003.1280697.

L. Dimitrov and V. Chobanov, “Diagnosis of rotor faults of induction motors, operated in non-rated conditions”. Electronics Technology: Meeting the Challenges of Electronics Technology Progress, vol. 1, pp. 110-113, 2004, doi: 10.1109/ISSE.2004.1490387.

F. Ruiming and M. Hongzhong, “Application of MCSA and SVM to Induction Machine Rotor Fault Diagnosis”. Intelligent Control and Automation, WCICA 2006. The Sixth World Congress on Intelligent Control and Automation, vol. 2, pp. 5543-5547, 2006.

K. Siddiqui and V. Giri, “Broken Rotor Bar Fault Detection in Induction Motors using Transient Current Analysis”. International Journal on Electronics & Communication Technology (IJECT), vol. 2, pp. 114-119, 2011.

K. Gaeid , H. Ping , M. Khalid and A. Salih, “Fault Diagnosis of Induction Motor Using MCSA and FFT”. Electrical and Electronic Engineering, 1 (2), pp. 85-92, 2011, doi: 10.5923/j.eee.20110102.14.

M. Castelli, J. Fossati and M. Andrade, “New Methodology to Faults Detection in Induction Motors via MCSA”. Transmission and Distribution Conference and Exposition: Latin America, IEEE/PES, pp. 1-6, 2008, doi: 10.1109/TDC-LA.2008.4641817.

D. Hwang, Y. Youn, J. Ho Sun and Y. Hwa Kim, “Robust Diagnosis Algorithm for Identifying Broken Rotor Bar Faults in Induction Motors”. Journal of Electrical Engineering & Technology (JEET), vol. 8, pp. 742-749, 2013.

M. Armaki and R. Roshanfekr, “A New Approach for Fault Detection of Broken Rotor Bars in Induction Motor Based on Support Vector Machine”. Electrical Engineering (ICEE), pp. 732 -738, 2010, doi: 10.1109/IRANIANCEE.2010.5506976.

C. Marcelo, J. Fossatti and J. Terra, “Fault Diagnosis of Induction Motors Based on FFT”. Fourier Transform -Signal Processing, ISBN: 978-953-51-0453-7, In Tech, Uruguay, Dr Salih Mohammed Salih (Ed.), pp.157-182, 2012.

B. Biswas, S. Das, P. Purkait, M. Mandal and D. Mitra, “Current Harmonics Analysis of Inverter-Fed Induction Motor Drive System under Fault Conditions”. Proceedings of the International Multi Conference of Engineers and Computer Scientists (IMECS), vol. 2, pp. 1-5, 2009.

M. Mehrotra and A. Pandey, “Harmonics analysis of VSI fed induction motor drive”. International Journal of Engineering and Innovative Technology (IJEIT), vol. 5, pp. 36-40, 2012.

J. Cortes, F. Medina and J. Chaves, “Del análisis de Fourier a las Wavelets, análisis de Fourier”. Scientia et Technica-XIII, vol. 34, pp. 151-156, 2007.

N. Mehala and R. Dahiya, “Condition monitoring methods, failure identification and analysis for Induction machines”. International journal of circuits, systems and signal processing, vol. 3, pp. 10-17, 2009.

A. Zayed, I., “Hilbert transform associated with the fractional fourier transform”. Signal Processing Letters, IEEE, vol. 5, pp. 206 -208, 1998, doi: 10.1109/97.704973.

S. Mallat, “Wavelet Tour on Signal Processing”. In Academic Press, Second edition, pp. 220-314, 1999.

E. Strangas, S. Aviyente and S. Zaidi, “Time–Frequency Analysis for Efficient Fault Diagnosis and Failure Prognosis for Interior Permanent-Magnet AC Motors”. Industrial Electronics, IEEE, vol. 55, pp. 4191-4199, 2008.

N. Mehala and R. Dahiya, “A Comparative Study of FFT, STFT and Wavelet Techniques for Induction Machine Fault Diagnostic Analysis”. CIMMACS'08 Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics, pp. 203-208, 2009.

K. Siddiqui and V. Giri, “Broken Rotor Bar Fault Detection in Induction Motors using Transient Current Analysis”. International Journal on Electronics & Communication Technology (IJECT), vol. 2, pp. 114-119, 2011.

H. Arabacı and O. Bilgin, “Effects of Rotor Faults in Squirrel-Cage Induction Motors on The Torque-speed curve”. XIX International Conference on Electrical Machines (ICEM), Rome, pp. 1-5, 2010.

J. García, E. García and J. Romeral, “Failure Detection In Induction Machines Based On Wavelet Transform And STFT”. Visión Electrónica: algo más que un estado sólido, [S.l.], vol. 5, pp. 38-47, 2011.

S. Taskin and H. Gokozan, “Determination of the Spectral Properties and Harmonic Levels for Driving an Induction Motor by an Inverter Driver under the Different Load Conditions”. Electronic & Electrical Engineering, pp. 75-80, 2011, ISSN: 1392-1215.

E. Luna-Gómez, D. Silva and G. Aponte, “Selection of a mother wavelet for frequency analysis of transient electrical signals using WPD”. Ingeniare. Revista chilena de ingeniería, vol. 21, pp. 262-270, 2013.

E. Serrano, “Introducción a la Transformada Wavelet y sus aplicaciones al procesamiento de señales de emisión acústica”. Escuela de Ciencia y Tecnología, Universidad Nacional de General San Martín, p. 15, 2002.

R. Reyes, Aplicación de la Transformada wavelet en el análisis de calidad de la energía. México, Instituto Politécnico Nacional, Escuela superior de ingeniería mecánica y eléctrica unidad profesional Adolfo Lòpez Mateos, 2009.

Q. Xiu, L. Hai-Lian and D. Guang-Jin, “The fault-character of the motors identified based on Wavelet transform”. Machine Learning and Cybernetics, IEEE, vol. 4, pp. 2394-2398, 2003, doi: 10.1109/ICMLC.2003.1259911.

M. Aerhpanahi, S. Sadeghi and A. Roknabadi, “Broken Rotor Bar Detection in Induction Motor via Stator Current Derivative”. Industrial Technology, IEEE, vol. 3, pp. 1363-1367, 2004, doi: 10.1109/ICIT.2004.1490759.

Department of Electrical and Computer Engineering Energy Systems Laboratory, “Modeling and Characterization of Induction Motor Internal Faults Using Finite-Element and Discrete Wavelet Transforms”. Electric Ship Technologies Symposium, (ESTS), pp. 250-253, 2006.

A. Daviu, M. Riera, J. Folch and P. Molina, “Validation of a New Method for the Diagnosis of Rotor Bar Failures via Wavelet Transform in Industrial Induction Machines”. IEEE Transactions on, vol.42, no.4, pp.990-996, 2006, doi: 10.1109/TIA.2006.876082.

L. Cusido, A. Romeral, J. García, J. Rosero and A. Ortega, “Fault detection in Induction Machines by using Continuous and Discrete Wavelet Decomposition”. Power Electronics and Applications, IEEE, p. 8, 2007, doi: 10.1109/EPE.2007.4417512.

G. Qianjin, L. Xiaoli, Y. Haibin, C. W. Xiangzhi and H. Jingtao, “Fault Monitoring and Diagnosis of Induction Machines Based on Harmonic Wavelet Transform and Wavelet Neural Network”. Natural Computation, ICNC '08. Fourth International Conference, IEEE, vol. 4, pp. 140-146, 2008, doi: 10.1109/ICNC.2008.663.

I. Georgakopoulos and E. Mitronikas, “Condition Monitoring of an Inverter-Driven Induction Motor Using Wavelets”. Advanced Electromechanical Motion Systems & Electric Drives Joint Symposium, Electromotion, CFP0910I-ART, pp. 1-5, 2009, doi: 10.1109/ELECTROMOTION.2009.5259128.

B. Ahcène, T. Omar, I. Rachid, B. Adel, F. Maurice and A. Rezzoug, “Fault diagnosis in industrial induction machines through discrete Wavelet transform”. Industrial Electronics, IEEE, vol. 58, pp. 4385-4395, 2010, doi: 10.1109/TIE.2010.2095391.

E. Schmitt, P. Idowu and A. Morales, “Applications of Wavelets in Induction Machine Fault Detection”. Ingeniare. Revista chilena de ingeniería, vol. 18, pp. 158-164, 2010.

H. Bae, Y. Kim, S. Kim, S. Lee and B. Wang, “Fault Detection of Induction Motors Using Fourier and Wavelet Analysis”. Journal of Advanced Computational Intelligence and Intelligent Informatics, vol. 8, pp. 431-432, 2004.

Menacer, A. Kechida, R. Champenois, G. Tnani, S. “Application of the Fourier and the Wavelet Transform for the Fault Detection in Induction Motors at the Startup Electromagnetic Torque”. Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), pp. 664-668, 2011, doi: 10.1109/DEMPED.2011.6063695.

U. Hiwase and S. Warkad, “Fault Detection (Condition Monitoring) of Induction Motor based on Wavelet Transform”. International Journal of Electrical and Electronics Engineering (IJEEE), vol. 1, pp. 97-100, 2012.

Cómo citar
Balleteros Csmcho, M. I., Cadena Villalba, F. J., & Jaramillo Matta, A. A. (2015). TÉCNICAS DE PROCESAMIENTO DE SEÑALES UTILIZADAS PARA EL ANÁLISIS DE LA DISTORSIÓN ARMÓNICA GENERADA POR VARIADORES DE FRECUENCIA EN MOTORES DE INDUCCIÓN. Redes De Ingeniería, 6(1), 72-84. https://doi.org/10.14483/udistrital.jour.redes.2015.1.a05
Publicado: 2015-09-05
Sección
Revisión

Artículos más leídos del mismo autor/a