Lightning risk assessment using fuzzy logic

Gallego, LE; Duarte, O; Torres, H; Vargas, M; Montana, J; Perez, E; Herrera, J; Younes, C

Abstract

A lightning risk assessment necessarily implies a set of uncertainties related to lightning strike probability, presence of a damage channel (type of coupling) or presence of a victim (equipment, human beings, structure itself, etc.). In order to quantify and qualify these uncertainties a risk assessment methodology using fuzzy logic is proposed. Fuzzy logic seems to be a powerful tool capable of combining linguistic and numeric variables in order to estimate the subjectiveness involved in risk analysis and determine whether a risk level is acceptable or not. The methodology proposed in this paper is a contribution to the analysis of risk of damage due to lightning, particularly applied in Tropical Regions, where parameters Such as ground flash density-GFD, and lightning current peak value-LCPV present a special behavior and determine the frequency and Intensity of lightning phenomenon. (C) 2004 Published by Elsevier B.V.

Más información

Título según WOS: ID WOS:000220833500015 Not found in local WOS DB
Título de la Revista: JOURNAL OF ELECTROSTATICS
Volumen: 60
Número: 2-4
Editorial: ELSEVIER SCIENCE BV
Fecha de publicación: 2004
Página de inicio: 233
Página final: 239
DOI:

10.1016/j.elstat.2004.01.014

Notas: ISI