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...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2017
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| Subjects: | |
| 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 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |