Title of article :
Statistical evaluation of lightning overvoltages on overhead distribution lines using neural networks
Author/Authors :
J.A.، Martinez, نويسنده , , F.، Gonzalez-Molina, نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2005
Abstract :
The evaluation of the lightning performance of overhead distribution lines, usually characterized by a flashover rate, can be a difficult and long task. Due to the random nature of the lightning phenomenon, this evaluation is generally based on statistical calculations. The application of a neural network can shorten and improve the accuracy of the flashover rate calculation. This paper presents a summary of the work performed by the authors to analyze the lightning performance of overhead distribution lines using neural networks.
Keywords :
subspace , Hilbert transform , admissible majorant , Hardy space , inner function , shift operator , model
Journal title :
IEEE TRANSACTIONS ON POWER DELIVERY
Journal title :
IEEE TRANSACTIONS ON POWER DELIVERY