Detection of interturn faults during transformer energization using wavelet transform

Juan C. Olivares-Galvan, R. Escarela-Perez, J. Alberto Ávalos González, Jaime Cerda Jacobo, Daniel Guillén, Fermin P. Espino-Cortés

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

© 2016 IEEE. Interturn faults are a critical problem in power transformers that can eventually escalate into catastrophic faults and probably result in an overall network failure. Also, failures in transformer windings are still a major cause of transformer outages, and failure rates vary widely between different countries and systems, depending on many factors. Therefore, in this work, interturn faults with various levels of severity were imposed on the winding of a 120 VA, 24/125 V dry type transformer to diagnose it. The obtained signals during the experiments are processed using the Wavelet Transform and correlation modes. This technique only takes into account the high frequency information produced during the energization of a winding with interturn faults.
Original languageAmerican English
DOIs
StatePublished - 23 Jan 2017
Event2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016 -
Duration: 23 Jan 2017 → …

Conference

Conference2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016
Period23/01/17 → …

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Transformer windings
Power transformers
Outages
Wavelet transforms
Experiments

Cite this

Olivares-Galvan, J. C., Escarela-Perez, R., González, J. A. Á., Jacobo, J. C., Guillén, D., & Espino-Cortés, F. P. (2017). Detection of interturn faults during transformer energization using wavelet transform. Paper presented at 2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016, . https://doi.org/10.1109/ROPEC.2016.7830612
Olivares-Galvan, Juan C. ; Escarela-Perez, R. ; González, J. Alberto Ávalos ; Jacobo, Jaime Cerda ; Guillén, Daniel ; Espino-Cortés, Fermin P. / Detection of interturn faults during transformer energization using wavelet transform. Paper presented at 2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016, .
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Olivares-Galvan, JC, Escarela-Perez, R, González, JAÁ, Jacobo, JC, Guillén, D & Espino-Cortés, FP 2017, 'Detection of interturn faults during transformer energization using wavelet transform', Paper presented at 2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016, 23/01/17. https://doi.org/10.1109/ROPEC.2016.7830612

Detection of interturn faults during transformer energization using wavelet transform. / Olivares-Galvan, Juan C.; Escarela-Perez, R.; González, J. Alberto Ávalos; Jacobo, Jaime Cerda; Guillén, Daniel; Espino-Cortés, Fermin P.

2017. Paper presented at 2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016, .

Research output: Contribution to conferencePaper

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T1 - Detection of interturn faults during transformer energization using wavelet transform

AU - Olivares-Galvan, Juan C.

AU - Escarela-Perez, R.

AU - González, J. Alberto Ávalos

AU - Jacobo, Jaime Cerda

AU - Guillén, Daniel

AU - Espino-Cortés, Fermin P.

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N2 - © 2016 IEEE. Interturn faults are a critical problem in power transformers that can eventually escalate into catastrophic faults and probably result in an overall network failure. Also, failures in transformer windings are still a major cause of transformer outages, and failure rates vary widely between different countries and systems, depending on many factors. Therefore, in this work, interturn faults with various levels of severity were imposed on the winding of a 120 VA, 24/125 V dry type transformer to diagnose it. The obtained signals during the experiments are processed using the Wavelet Transform and correlation modes. This technique only takes into account the high frequency information produced during the energization of a winding with interturn faults.

AB - © 2016 IEEE. Interturn faults are a critical problem in power transformers that can eventually escalate into catastrophic faults and probably result in an overall network failure. Also, failures in transformer windings are still a major cause of transformer outages, and failure rates vary widely between different countries and systems, depending on many factors. Therefore, in this work, interturn faults with various levels of severity were imposed on the winding of a 120 VA, 24/125 V dry type transformer to diagnose it. The obtained signals during the experiments are processed using the Wavelet Transform and correlation modes. This technique only takes into account the high frequency information produced during the energization of a winding with interturn faults.

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Olivares-Galvan JC, Escarela-Perez R, González JAÁ, Jacobo JC, Guillén D, Espino-Cortés FP. Detection of interturn faults during transformer energization using wavelet transform. 2017. Paper presented at 2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016, . https://doi.org/10.1109/ROPEC.2016.7830612