A Neuro-Fuzzy Approach for Estimation of Time-to-Flashover Characteristic of Polluted Insulators

Mehdi Savaghebi, Ahmad Gholami, Alireza Jalilain, Hossein Hooshyar

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Abstract

Function estimation is one of the major fields of fuzzy logic applications. Because of the useful properties of fuzzy systems such as adaptivity and nonlinearity, they are well suited to function estimation tasks where the equation describing the function is unknown as the only prerequisite
is a representative sample of the function behavior. In this paper, a neuro-fuzzy approach for estimation of time-to-flashover of a polluted insulator under power frequency voltage is discussed. The prerequisite training data are available from experimental studies performed on models of polluted insulators. The results show the effectiveness of the proposed approach.
OriginalsprogEngelsk
TitelProceedings of International Conference on Power and Energy
Antal sider3
ForlagIEEE
Publikationsdatodec. 2008
Sider1485-1487
ISBN (Trykt)978-1-4244-2404-7
DOI
StatusUdgivet - dec. 2008
Udgivet eksterntJa
BegivenhedIEEE International Conference on Power and Energy - Johor Baharu, Malaysia
Varighed: 1 dec. 20083 dec. 2008
Konferencens nummer: 2nd

Konference

KonferenceIEEE International Conference on Power and Energy
Nummer2nd
Land/OmrådeMalaysia
ByJohor Baharu
Periode01/12/200803/12/2008

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