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dc.contributor.author
González Arispe, Jimmy Cesar
dc.contributor.author
Mombello, Enrique Esteban
dc.date.available
2018-01-12T16:00:40Z
dc.date.issued
2014-02
dc.identifier.citation
González Arispe, Jimmy Cesar; Mombello, Enrique Esteban; Detection of Failures Within Transformers by FRA Using Multiresolution Decomposition; Institute of Electrical and Electronics Engineers; IEEE Transactions on Power Delivery; 29; 3; 2-2014; 1127-1137
dc.identifier.issn
0885-8977
dc.identifier.uri
http://hdl.handle.net/11336/33061
dc.description.abstract
The detection of failures within power transformers is considered an important issue since these components are of critical importance for power system reliability; moreover, their replacement cost is extremely high. In monitoring the transformer condition along its useful life, frequency-response analysis (FRA) has gained great interest due to its sensitivity to failures in the windings and the iron core. These failures can be detected by evaluating transfer function changes by means of statistical and mathematical indices and classified according the frequency band in which these changes take place. However, this procedure involves evaluation inaccuracies due to disturbances or minor changes during FRA measurements. The new methodology is based on the decomposition of the original responses in several levels of decomposition (filtering) using the discrete wavelet transform, and the subsequent comparison using smooth versions of the responses. Fault detection is further supported with statistical indices calculated using the frequency band where abnormal differences appear. This procedure gives more robustness to the method and reduces the possible influence of disturbances during measurement in the diagnosis result. The methodology has been tested using different failure cases and two of them are used for validation purposes in this paper.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Institute of Electrical and Electronics Engineers
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Transformer Diagnosis
dc.subject
Discrete Wavelet Transform (Dwt)
dc.subject
Frequency-Response Analysis (Fra)
dc.subject
Power Transformers
dc.subject
Mathematical Analysis
dc.subject.classification
Ingeniería de Sistemas y Comunicaciones
dc.subject.classification
Ingeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Detection of Failures Within Transformers by FRA Using Multiresolution Decomposition
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-01-08T19:46:31Z
dc.identifier.eissn
1937-4208
dc.journal.volume
29
dc.journal.number
3
dc.journal.pagination
1127-1137
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Nueva York
dc.description.fil
Fil: González Arispe, Jimmy Cesar. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina. Deutscher Akademischer Austauschdiest ; Alemania
dc.description.fil
Fil: Mombello, Enrique Esteban. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
IEEE Transactions on Power Delivery
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TPWRD.2014.2306674
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/6763102/
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