Palabras clave
wavelet
daubechies
aislamiento
daubechies
aislamiento
Cómo citar
Marot Guevara, A. A., & Velásquez, S. (2024). Diagnóstico de falla de bajo aislamiento en el transitorio de arranque de motores de inducción con rotor jaula de ardilla mediante análisis de wavelet. Athenea, 5(18), 19-32. https://doi.org/10.47460/athenea.v5i18.82
Resumen
El objetivo de este trabajo fue diagnosticar fallas en motores de inducción con rotor de tipo jaula de ardilla durante el transitorio de arranque, mediante el análisis de la señal de corriente del estator. Para ello, se modelaron motores de baja y media tensión en Simulink, utilizando MATLAB. Previamente, la falla por bajo aislamiento fue diagnosticada mediante prueba estática. Se demostró que, durante el transitorio de arranque, la falla de bajo aislamiento se manifiesta a través de un análisis de wavelet Daubechies de nivel 8 aplicado a la señal de corriente. La falla se evidenció en los niveles de detalle 1, 2, 5, 6, 7 y 8, tanto en motores de baja tensión como en motores de media tensión.
Citas
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[20] I. o. E. a. E. E. (IEEE), IEEE 493-2020: Recommended Practice for the Design of Relays for Electric Power Systems., 2020.
[2] X. Liang, M. Z. Ali y H. Zhang, «Induction Motors Fault Diagnosis Using Finite Element Method: A Review,» in IEEE Transactions on Industry Applications, vol. 56, nº 2, pp. 1205-1217, 2020.
[3] P. Zitha y B. A. Thango, «On the Study of Induction Motor Fault Identification using Support Vector Machine Algorithms,» de 2023 SAUPEC Conference, Johannesburg, South Africa, 2023.
[4] A. Sharma, L. Mathew y S. Chatterji, «Analysis of Broken Rotor bar Fault Diagnosis for Induction Motor. In Proceedings of the,» de IEEE International Conference on Innovations in Control, Communication and Information Systems (ICICCI),, Greater Noida, 2017.
[5] M. R. Mehrjou, N. Mariun, M. H. Marhaban y N. Misron, «Rotor fault condition monitoring techniques for squirrel-cage induction machine—A review,» Mechanical Systems and Signal Processing, vol. 25, nº 8, pp. 2827-2848, 2011.
[6] M. Z. Ali, S. M. N. S. K, X. Liang y H. Y. Zhang and T, «Machine Learning-Based Fault Diagnosis for Single- and Multi-Faults in Induction Motors Using Measured Stator Currents and Vibration Signals,» in IEEE Transactions on Industry Applications, vol. 5, nº 3, pp. 2378-2391, 2019.
[7] S. Lee, J. Yang, K. Younsi y R. Bharadwaj, «An On-line Groundwall and Phase to Phase Insulation Quality Assessment Technique for AC Machine Stator Windings,» IEEE Transactions on Industry Applications, vol. 42, p. 946–957, 2006.
[8] Y. Wang, L. Yang, J. Xiang y e. al, «A hybrid approach to fault diagnosis of roller bearings under variable speed conditions,» Measurement Science and Technology, vol. 28, nº 12, 2017.
[9] G. H. Bazan, P. R. Scalassara, W. Endo y e. al, «Stator short-circuit diagnosis in induction motors using mutual information and intelligent systems,» IEEE Transactions on Industrial Electronics, vol. 66, nº 4, pp. 3237-3246, 2018.
[10] A.S.Guedes y S.M.Silva, «Insulation Protection and Online Stress Agent Identification for Electric Machines using Artificial Intelligence,» ET Electric Power Applications, vol. 13, nº 4, pp. 559-570 , 2019.
[11] G. Mathew, «Fault Detection in an Induction Motor Drive Using Discrete Wavelet Packet Transform,» IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE), vol. 12, nº 2, pp. 1-6, 2017.
[12] N. Mohan, Advanced Electric Drives: Analysis, Control and Modeling Using Simulink. Minneapolis, Minneapolis: MNPERE, 2001.
[13] J. Antonino-Daviu, M.-F. J. Riera-Guasp, F. Martínez-Giménez y A. Peris, «Application and optimization of the discrete wavelet transform for the detection of broken rotor bars in induction machines,» Applied and Computational Harmonic Analysis, vol. 21, nº 2, pp. 268-279, 2006.
[14] J. Cusidó y J. Romeral, «Transient Analysis and Motor Fault Detection using the Wavelet Transform,» MCIA Group, Technical University of Catalonia, pp. 43-60, 2011.
[15] J. Walker, CRC press, 2008.
[16] R. Gopinath y G. H.ta, Introduction to wavelets and wavelet transforms: a primer, Nueva Jersey: Prentice-Hall, 1997.
[17] M. Samiullah, H. Ali y A. A. Shehryar Zahoor, «Fault Diagnosis on Induction Motor using Machine Learning and Signal Processing,» School of Electrical Engineering and Computer Science, (SEECS), National University of Sciences and Technology, pp. 1-6, 2024.
[18] K. Younsi, P. Neti, M. Shah, J. Y. Zhou, J. Krahn y K. Weeber, «On-line Capacitance and Dissipation Factor Monitoring of AC Stator Insulation,» IEEE Transactions on Dielectrics and Electrical Insulation , vol. 17, nº 5, pp. 1441-1451, 2010.
[19] P. Nussbaumer, M. A. Vogelsberger y T. M. Wolbank, «Induction Machine Insulation Health State Monitoring Based on Online Switching Transient Exploitation,» IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, vol. 62, nº 3, pp. 1835- 1845, 2015.
[20] I. o. E. a. E. E. (IEEE), IEEE 493-2020: Recommended Practice for the Design of Relays for Electric Power Systems., 2020.
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