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Regression-Based Stochastic Study of Electromagnetic Fields Due to Lightning Strikes.
- Source :
-
IEEE Transactions on Electromagnetic Compatibility . Oct1993, Vol. 61 Issue 5, p1630-1638. 9p. - Publication Year :
- 2019
-
Abstract
- Electromagnetic (EM) fields triggered by lightning strikes are likely to display non-negligible variability in practice, with an apparent effect on various quantities of interest, such as induced voltages on transmission lines. This paper investigates the stochastic properties of lightning-generated fields, when the latter are affected by random ground parameters and/or nondeterministic lightning base current. In essence, the EM components are represented herein by truncated series of orthogonal polynomials, according to the generalized polynomial-chaos theory, and their expansion coefficients are computed via a regression approach. The necessary samplings of the random spaces are constructed with either tensor-based or sparse grids, and their performance is validated and compared. It is shown that reliable calculations of the expectation can be conducted with low-order polynomial approximations, while at least third-order expansions are required for the standard deviation. In addition, we conclude that nontrivial variability is induced in lightning-produced pulses, when variations of the considered stochastic parameters are taken into account. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189375
- Volume :
- 61
- Issue :
- 5
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Electromagnetic Compatibility
- Publication Type :
- Academic Journal
- Accession number :
- 139144827
- Full Text :
- https://doi.org/10.1109/TEMC.2018.2867062