Spectral Subband Centroid Energy Vectors Algorithm and Artificial Neural Networks for Acoustic Emission Pattern Classification

Spectral Subband Centroid Energy Vectors Algorithm and Artificial Neural Networks for Acoustic Emission Pattern Classification

This work proposes and evaluates a methodology for monitoring and diagnosis of polymeric insulators in operation based on the parameterization of acoustic emissions (AE) created by corona and electrical surface discharges. The parameterization was performed with the use of the spectral subband cen...

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Bibliographic Details
Main Authors: FLORENTINO, M. T. B., Da COSTA, E. G., FERREIRA, T. V., GERMANO, A. D.
Format: Article
Language:English
Published: Stefan cel Mare University of Suceava 2019-08-01
Series:Advances in Electrical and Computer Engineering
Subjects:
acoustic emission
artificial neural networks
condition monitoring
corona
insulators
Online Access:http://dx.doi.org/10.4316/AECE.2019.03006

Internet

http://dx.doi.org/10.4316/AECE.2019.03006

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