Comparison of the performance of artificial neural networks and fuzzy logic for recognizing different partial discharge sources

• Main Author: Bani, N. A.
• Format: Article
• Language: English
• Published: MDPI AG 2017
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/77115/1/NurulAiniBani2017_ComparisonofthePerformanceofArtificial.pdf; http://eprints.utm.my/id/eprint/77115/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-85029061428&doi=10.3390%2fen10071060&partnerID=40&md5=87b8a80ff251313b38333f4bdd774dea

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...