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Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
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Sensors and Materials, Volume 33, Number 7(2) (2021)
Copyright(C) MYU K.K.
pp. 2471-2480
S&M2631 Research Paper of Special Issue
https://doi.org/10.18494/SAM.2021.3309
Published: July 15, 2021

Modified Gauss–Newton Algorithm for Evaluation of Full Lightning Impulse Voltage Parameters [PDF]

Panuwat Jamroen, Poom Yoosorn, Suthasinee Waengsothorn, and Peerawut Yutthagowith

(Received January 29, 2021; Accepted June 16, 2021)

Keywords: curve fitting technique, Gauss–Newton method, Levenberg–Marquardt algorithm, lightning impulse voltage, two-exponential function

This paper presents an efficient curve fitting technique based on a Gauss–Newton (GN) method with a varied damping factor for the evaluation of lightning impulse voltage parameters. The proposed method can be used to determine the base curves of full lightning impulse voltages with oscillations corrected from the parameters of test cases according to the standard (IEC 61083-2). To verify the performance of the proposed method, base curves reconstructed from the developed method were compared with curves reconstructed from nonlinear least squares regression using the Levenberg–Marquardt (LM) algorithm, as prescribed in the standard. The proposed method provides the same results as the standard recommended method but its execution time is significantly shorter. The results of this study indicate that the proposed method is suitable for evaluating lightning impulse voltage parameters.

Corresponding author: Peerawut Yutthagowith


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Cite this article
Panuwat Jamroen, Poom Yoosorn, Suthasinee Waengsothorn, and Peerawut Yutthagowith, Modified Gauss–Newton Algorithm for Evaluation of Full Lightning Impulse Voltage Parameters, Sens. Mater., Vol. 33, No. 7, 2021, p. 2471-2480.



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