Design of an artificial neural network for the estimation of the flashover voltage on insulators

Prediction of the Levels of Contamination of HV Insulators Using Image Linear Algebraic Features and Neural Networks

“…This method experience the same problems reported by others, namely its sensitivity to the level of humidity and background noise. Kontargyri et al [9] developed a neural network for polluted insulators. The network uses insulator's diameter, height, creepage distance, form factor and ESDD values as its input, while the critical flashover voltage is its output.…”

“…Measurements and hence the mathematical models are highly affected by environmental conditions which limits practical applicability of the methods proposed in [9] and [11].…”

Detection of Critical Conditions in Ceramic Insulators Based on Harmonic Analysis of Leakage Current

“…Moreover, there are variety methods in which detection of the insulator conditions and prediction of flashover have been considered [9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26]. In [9], peak amplitude changes of the leakage current has been assumed as a criterion to detect the critical conditions in insulators.…”

Calculation of surface leakage currents on high voltage insulators by ant colony algorithm-supported FEM

“…One of them is the formation of minimum voltage required to maintain the ignition of a partial and serial arc on the unabridged, polluted surface with varying length [3,7,10,11]. The other is the determination and application of a criterion for the spread of an arc along the wet insulator surface [3,4].…”

“…Solutions for insulator surface leakage currents and pollution resistance in series with the arc and pollution flashover problems have been sought by doing studies on the following issues: model and simulation studies to determine flashover voltage [11][12][13][14][15][16], computer package programs to analyze the potential and field distributions [3,10,12,13], artificial neural networks [10,17,18], fuzzy logic applications [19], the relation between leakage distance and pollution resistance [3], the variation of dry band resistance with time [11], and the effect of lightning impulse voltage and switching voltage [12].…”