Adaptive neuro-fuzzy inference system for monitoring the surface condition of polymeric insulators using harmonic content
Authors:
- 5 July 2011
- journal article
- Published by Institution of Engineering and Technology (IET) in IET Generation, Transmission & Distribution
- Vol. 5 (7) , 751-759
Abstract
No abstract availableKeywords
This publication has 9 references indexed in Scilit:
- High-impedance fault detection using multi-resolution signal decomposition and adaptive neural fuzzy inference systemIET Generation, Transmission & Distribution, 2008
- Inferring ceramic insulator pollution by an innovative approach resorting to PD detectionIEEE Transactions on Dielectrics and Electrical Insulation, 2007
- Comparison of leakage current and aging of silicone rubbers and porcelain in both field and salt-fog testsIEEE Transactions on Dielectrics and Electrical Insulation, 2006
- Effect of insulator shape on surface discharges and flashover under polluted conditionsIEEE Transactions on Dielectrics and Electrical Insulation, 2005
- Investigations of Tracking Phenomena in Silicone Rubber Using Moving Average Current TechniquePlasma Science and Technology, 2004
- Diagnostic study of the surface condition of the insulation structure using wavelet transform and neural networksElectric Power Systems Research, 2004
- Correlation among ESDD, NSDD and leakage current in distribution insulatorsIEE Proceedings - Generation, Transmission and Distribution, 2004
- Frequency characteristics of leakage current waveforms of an artificially polluted suspension insulatorIEEE Transactions on Dielectrics and Electrical Insulation, 2001
- ANFIS: adaptive-network-based fuzzy inference systemIEEE Transactions on Systems, Man, and Cybernetics, 1993