Fault diagnosis in power lines using Hilbert transform and fuzzy classifier

F. M. Rivera-Calle; L. I. Minchala-Ávila; J. C. Montesdeoca-Contreras; J. A. Morales-Garcia

doi:10.1109/ESARS.2015.7101420

Fault diagnosis in power lines using Hilbert transform and fuzzy classifier

F. M. Rivera-Calle, L. I. Minchala-Ávila, J. C. Montesdeoca-Contreras, J. A. Morales-Garcia

Universidad Politécnica Salesiana

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

3 Citas (Scopus)

Resumen

Early detection of faults in power lines allows improve the service quality and therefore a reduction in high operating costs that a failure of this type implies. This paper describes a method used to determine the type of failure occurs in a three-phase over time, using tools as Hilbert transform and fuzzy classifier for successful detection is done. The algorithm developed uses each of the power lines phases which are analyzed in its angle of coverage and its variation in time, after this analysis the results classified by a classifier Fuzzy c-means. This classifier makes groups of fault data and no-fault data. The results show a high performance in classified values near to zero as correct.

Idioma original	Inglés
Título de la publicación alojada	2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015
Editorial	IEEE Computer Society
ISBN (versión digital)	9781479974009
DOI	https://doi.org/10.1109/ESARS.2015.7101420
Estado	Publicada - 4 may. 2015
Publicado de forma externa	Sí
Evento	International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015 - Aachen, Alemania Duración: 3 mar. 2015 → 5 mar. 2015

Serie de la publicación

Nombre	Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS
Volumen	2015-May
ISSN (versión impresa)	2165-9400
ISSN (versión digital)	2165-9427

Conferencia

Conferencia	International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015
País/Territorio	Alemania
Ciudad	Aachen
Período	3/03/15 → 5/03/15

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10.1109/ESARS.2015.7101420

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Rivera-Calle, F. M., Minchala-Ávila, L. I., Montesdeoca-Contreras, J. C., & Morales-Garcia, J. A. (2015). Fault diagnosis in power lines using Hilbert transform and fuzzy classifier. En 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015 Artículo 7101420 (Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS; Vol. 2015-May). IEEE Computer Society. https://doi.org/10.1109/ESARS.2015.7101420

Rivera-Calle, F. M. ; Minchala-Ávila, L. I. ; Montesdeoca-Contreras, J. C. et al. / Fault diagnosis in power lines using Hilbert transform and fuzzy classifier. 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015. IEEE Computer Society, 2015. (Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS).

@inproceedings{68c654e4fe4f4a3b913763bd36fe6baa,

title = "Fault diagnosis in power lines using Hilbert transform and fuzzy classifier",

abstract = "Early detection of faults in power lines allows improve the service quality and therefore a reduction in high operating costs that a failure of this type implies. This paper describes a method used to determine the type of failure occurs in a three-phase over time, using tools as Hilbert transform and fuzzy classifier for successful detection is done. The algorithm developed uses each of the power lines phases which are analyzed in its angle of coverage and its variation in time, after this analysis the results classified by a classifier Fuzzy c-means. This classifier makes groups of fault data and no-fault data. The results show a high performance in classified values near to zero as correct.",

keywords = "Fault Diagnosis, Fuzzy Classifier, Hilbert Transform, Power Networks",

author = "Rivera-Calle, \{F. M.\} and Minchala-{\'A}vila, \{L. I.\} and Montesdeoca-Contreras, \{J. C.\} and Morales-Garcia, \{J. A.\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015 ; Conference date: 03-03-2015 Through 05-03-2015",

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doi = "10.1109/ESARS.2015.7101420",

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Rivera-Calle, FM, Minchala-Ávila, LI, Montesdeoca-Contreras, JC & Morales-Garcia, JA 2015, Fault diagnosis in power lines using Hilbert transform and fuzzy classifier. En 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015., 7101420, Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS, vol. 2015-May, IEEE Computer Society, International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015, Aachen, Alemania, 3/03/15. https://doi.org/10.1109/ESARS.2015.7101420

Fault diagnosis in power lines using Hilbert transform and fuzzy classifier. / Rivera-Calle, F. M.; Minchala-Ávila, L. I.; Montesdeoca-Contreras, J. C. et al.
2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015. IEEE Computer Society, 2015. 7101420 (Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS; Vol. 2015-May).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución a la conferencia › revisión exhaustiva

TY - GEN

T1 - Fault diagnosis in power lines using Hilbert transform and fuzzy classifier

AU - Rivera-Calle, F. M.

AU - Minchala-Ávila, L. I.

AU - Montesdeoca-Contreras, J. C.

AU - Morales-Garcia, J. A.

PY - 2015/5/4

Y1 - 2015/5/4

N2 - Early detection of faults in power lines allows improve the service quality and therefore a reduction in high operating costs that a failure of this type implies. This paper describes a method used to determine the type of failure occurs in a three-phase over time, using tools as Hilbert transform and fuzzy classifier for successful detection is done. The algorithm developed uses each of the power lines phases which are analyzed in its angle of coverage and its variation in time, after this analysis the results classified by a classifier Fuzzy c-means. This classifier makes groups of fault data and no-fault data. The results show a high performance in classified values near to zero as correct.

AB - Early detection of faults in power lines allows improve the service quality and therefore a reduction in high operating costs that a failure of this type implies. This paper describes a method used to determine the type of failure occurs in a three-phase over time, using tools as Hilbert transform and fuzzy classifier for successful detection is done. The algorithm developed uses each of the power lines phases which are analyzed in its angle of coverage and its variation in time, after this analysis the results classified by a classifier Fuzzy c-means. This classifier makes groups of fault data and no-fault data. The results show a high performance in classified values near to zero as correct.

KW - Fault Diagnosis

KW - Fuzzy Classifier

KW - Hilbert Transform

KW - Power Networks

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BT - 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015

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Rivera-Calle FM, Minchala-Ávila LI, Montesdeoca-Contreras JC, Morales-Garcia JA. Fault diagnosis in power lines using Hilbert transform and fuzzy classifier. En 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015. IEEE Computer Society. 2015. 7101420. (Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS). doi: 10.1109/ESARS.2015.7101420

Fault diagnosis in power lines using Hilbert transform and fuzzy classifier

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