Title :
Artificial neural networks in lightning location systems
Author :
Bermudez, J.L. ; Piras, A. ; Rubinstein, M.
Author_Institution :
Electr. Power Syst. Lab., Swiss Federal Inst. of Technol., Lausanne, Switzerland
Abstract :
In this work, we introduce the use of self organizing Kohonen maps, a type of artificial neural network, for lightning electromagnetic waveform classification. We show how this natural classification can be used to discriminate lightning waveforms in a noisy environment. The utility and functionality of the proposed framework is confirmed by numerical results based on real lightning electric field waveforms from the lightning positioning and tracking system (LPATS) operated by the Swiss Telecom PTT
Keywords :
atmospheric radiation; geophysics computing; lightning; noise; pattern classification; self-organising feature maps; LPATS; artificial neural network; lightning electromagnetic waveform classification; lightning location systems; lightning positioning system; lightning tracking system; noisy environment; self organizing Kohonen maps; Artificial neural networks; Electromagnetic scattering; Intelligent networks; Laboratories; Lightning; Power systems; Prototypes; Shape; Telecommunications; Testing;
Conference_Titel :
Neuro-Fuzzy Systems, 1996. AT'96., International Symposium on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3367-5
DOI :
10.1109/ISNFS.1996.603836
