Detalhes bibliográficos
Ano de defesa: |
2014 |
Autor(a) principal: |
Clerice, Guilherme Augusto Marabezzi [UNESP] |
Orientador(a): |
Não Informado pela instituição |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
|
Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Estadual Paulista (Unesp)
|
Programa de Pós-Graduação: |
Não Informado pela instituição
|
Departamento: |
Não Informado pela instituição
|
País: |
Não Informado pela instituição
|
Palavras-chave em Português: |
|
Link de acesso: |
http://hdl.handle.net/11449/122124
|
Resumo: |
The power transformer are equipments with high cost but paramount importance in the electric system as your bad operation can directly impact on the quality of the electric energy provided to the consumers. Therefore, diagnostic systems of occurred failures on this equipment can assist even on corrective maintenance or preventive. This work offers an efficient method to locate partial discharges on the power transformers which use mineral oil inside with no need to use intrusive methods of diagnoses. The location of the partial discharge generated inside of the transformer is made via piezoeletric capsules with low cost. It is fixed externally in the box of the power transformer, as well through the use of intelligent systems as neurotic artificial networks without the use of the TOA (time of arrival) requiring the triangulation signal which demands high computational complexity, thus providing the coordinates where the partial discharge was originated. On this context, the reduction of the time of maintenance or possible prediction of interruption of the service in this equipment results that the energy supply can be made with better quality, minimizing the impacts suffered by the consumers due the discontinuity of the service made by the concessionaires of electric energy |