Comparison of the Performance of Artificial Neural Networks and Fuzzy Logic for Recognizing Different Partial Discharge Sources

Comparison of the Performance of Artificial Neural Networks and Fuzzy Logic for Recognizing Different Partial Discharge Sources

This paper compared the capabilities of the artificial neural network (ANN) and the fuzzy logic (FL) approaches for recognizing and discriminating partial discharge (PD) fault classes. The training and testing parameters for the ANN and FL comprise statistical fingerprints from different phase-ampli...

Full description

Bibliographic Details
Main Authors: Abdullahi Abubakar Mas’ud, Jorge Alfredo Ardila-Rey, Ricardo Albarracín, Firdaus Muhammad-Sukki, Nurul Aini Bani
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Energies
Subjects:
partial discharge
fuzzy logic
artificial neural network
polyethylene terephthalate
Online Access:https://www.mdpi.com/1996-1073/10/7/1060

Internet

https://www.mdpi.com/1996-1073/10/7/1060

Similar Items