Abstract
The objective of this work was to diagnose faults in squirrel-cage induction motors during the startup transient, by analyzing the stator current signal. To achieve this, low- and medium-voltage motors were modeled in Simulink using MATLAB. Previously, the fault due to low insulation was diagnosed through a static test. It was demonstrated that, during the startup transient, the low insulation fault manifests through a Daubechies wavelet analysis at level 8 of the current signal. The fault was identified in the detail levels 1, 2, 5, 6, 7, and 8, for both low-voltage and medium-voltage motors.
References
[1] A. Almounajjed, A. Sahoo y M. Kumar, «Condition monitoring and fault diagnosis of induction motor: An experimental analysis,» de In 2021 7th Int. Conf. on Electrical . In 2021 7th Int. Conf. on Electrical, 2021.
[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.
[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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