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

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

4 Citas (Scopus)

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781509037940
DOI
EstadoPublicada - 23 ene. 2017
Evento2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016 - Ixtapa, Guerrero, México
Duración: 9 nov. 201611 nov. 2016

Serie de la publicación

Nombre2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016

Conferencia

Conferencia2016 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2016
País/TerritorioMéxico
CiudadIxtapa, Guerrero
Período9/11/1611/11/16

Huella

Profundice en los temas de investigación de 'Detection of interturn faults during transformer energization using wavelet transform'. En conjunto forman una huella única.

Citar esto