TITLE:
Early Failure Detection in Power Transformers
AUTHORS:
Luiz Eduardo Borges da Silva, Erik Leandro Bonaldi, Levy Ely de Lacerda de Oliveira, Germano Lambert-Torres, Giscard F. C. Veloso, Ismael Noronha, Felipe dos Santos Moreira, José Nielze Caminha
KEYWORDS:
Transformers; Measuring System; Signal Processing; Partial Discharges; Predictive Maintenance
JOURNAL NAME:
Journal of Power and Energy Engineering,
Vol.1 No.5,
November
26,
2013
ABSTRACT: This paper
presents equipment for early detection of failures in the insulation of power transformers,
checking existing partial discharges inside. The equipment involves hardware,
control and signal acquisition software, and signal analysis software. This
equipment has a set of algorithms that were made with intelligent extraction
techniques and interpretation of data. The degradation diagnosis of the
equipment insulation is based on digital signal processing algorithms for
extraction of features and also in artificial intelligence algorithms that
allies a mining involving all the data linked to the equipment throughout its
operating life can make an assessment of the operating conditions of the
equipment and suggest interventions and provide an estimated time so that they
have to be made.