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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015
Publisher	IEEE Computer Society
ISBN (Electronic)	9781479974009
DOIs	https://doi.org/10.1109/ESARS.2015.7101420
State	Published - 4 May 2015
Externally published	Yes
Event	International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015 - Aachen, Germany Duration: 3 Mar 2015 → 5 Mar 2015

Publication series

Name	Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS
Volume	2015-May
ISSN (Print)	2165-9400
ISSN (Electronic)	2165-9427

Conference

Conference	International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015
Country/Territory	Germany
City	Aachen
Period	3/03/15 → 5/03/15

Keywords

Fault Diagnosis
Fuzzy Classifier
Hilbert Transform
Power Networks

Access to Document

10.1109/ESARS.2015.7101420

Cite this

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. In 2015 International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles, ESARS 2015 Article 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",

year = "2015",

month = may,

day = "4",

doi = "10.1109/ESARS.2015.7101420",

language = "Ingl{\'e}s",

series = "Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS",

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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. in 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, Germany, 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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

UR - https://www.scopus.com/pages/publications/84946239306

U2 - 10.1109/ESARS.2015.7101420

DO - 10.1109/ESARS.2015.7101420

M3 - Contribución a la conferencia

AN - SCOPUS:84946239306

T3 - Electrical Systems for Aircraft, Railway and Ship Propulsion, ESARS

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

PB - IEEE Computer Society

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Y2 - 3 March 2015 through 5 March 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. In 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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