S&M Young Researcher Paper Award 2020
Recipients: Ding Jiao, Zao Ni, Jiachou Wang, and Xinxin Li [Winner's comments]
Paper: High Fill Factor Array of Piezoelectric Micromachined
Ultrasonic Transducers with Large Quality Factor

S&M Young Researcher Paper Award 2021
Award Criteria
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.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

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


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

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.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Intelligent Manufacturing and Application Technology Part 1
Guest editor, Cheng-Chi Wang (National Chin-Yi University of Technology)
Call for paper


Special Issue on Smart Sensing Technologies and Their Application in Forest Management and Engineering
Guest editor, Byoungkoo Choi (Kangwon National University)
Call for paper


Special Issue on Sensors, Materials, and Computational Intelligence Algorithms in Robotics and AI Engineering
Guest editor, Pitikhate Sooraksa (King Mongkut’s Institute of Technology Ladkrabang)
Call for paper


Special Issue on Microfluidics and Related Nano/Microengineering for Medical and Chemical Applications
Guest editor, Yuichi Utsumi (University of Hyogo)
Call for paper


Special Issue on International Conference on BioSensors, BioElectronics, BioMedical Devices, BioMEMS/NEMS and Applications 2019 (Bio4Apps 2019) (2)
Guest editor, Hirofumi Nogami and Masaya Miyazaki (Kyushu University)
Conference website


Special Issue on High-sensitivity Sensors and Sensors for Difficult-to-measure Objects
Guest editor, Ki Ando (Chiba Institute of Technology)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.