|3/2013 - 18|
Estimating Probability of Gas Breakdown Using Grey-Fuzzy LogicCHEN, M.-J. , WU, Y.-C. , WEN, K.-L. , TSAI, M.-T.
|Click to see author's profile in SCOPUS, IEEE Xplore, Web of Science|
|Download PDF (736 KB) | Citation | Downloads: 322 | Views: 391|
grey system theory, fuzzy theory, gas breakdown, probability estimation
grey(25), system(12), fuzzy(12), chen(7), systems(6), deng(6), control(5), applications(4)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2013-08-31
Volume 13, Issue 3, Year 2013, On page(s): 113 - 120
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.03018
Web of Science Accession Number: 000326321600018
SCOPUS ID: 84884935729
Designing the protection system of high voltage power systems involves elucidating the properties of gas breakdown. This work presents a simplified mathematical approach based on grey and fuzzy methods to estimate the probability of gas breakdown, which differs from other grey-fuzzy methods. With the help of the data normalization process and a linear fuzzy membership function in determining the proper value of the distinguishing coefficient, the proposed approach outperforms other grey-fuzzy-based methods, the curve fitting method, and the neural network method in terms of estimation accuracy. The average relative error of test cases 1 and 2 with the normalization processing is 6.43%, which is 2.53 lower than that of the neural network method, 4.35% lower than that of the curve fitting method, 17.64 lower than that of the 5-interval max-max fuzzy-grey method, 1.51% lower than that of the 5-interval min-min fuzzy-grey method, 13.87% lower than that of the 3-interval max-max method, and 2.72% lower than that of the 3-interval min-min method.
|References|||||Cited By «-- Click to see who has cited this paper|
| D. J. Tsai, Taiwan Area Lightning Data Book. Taipower Company: Taiwan, 1993. (in Chinese)
 M. Naidu, V. Kamaraju, High Voltage Engineering. McGRAW-Hill 2001; ISBN 0071229000.
 A. D. O. Bawagan, "A stochastic model of gaseous dielectric breakdown," Chemical Physics Letters, vol.281, pp. 325-332, 1997
[CrossRef] [Web of Science Times Cited 6] [SCOPUS Times Cited 7]
 J. Deng, "Control Problems of Grey System," Syst. Contr. Lett., vol. 5, pp. 288-294, 1982
 J. L. Deng, Five Step Modeling of Grey Systems, Grey System, China Ocean Press, Beijing, China, 1988
 J. L. Deng, Grey Forecasting Control, Grey System, China Ocean Press, Beijing, China, 1998.
 J. L. Deng, Introduction to grey systems, The Journal of Grey System vol. 1, no. 1, pp. 1-24, 1989
 J. L. Chen, P. Y. Chen, "An Efficient Grey Search Algorithm for the Estimation of Motion Vectors," IEEE Trans. on Systems, Man, and CyberneticsPart C: Applications and Reviews, vol. 31, no. 2, pp. 242-248, 2001
[CrossRef] [SCOPUS Times Cited 13]
 D. Y. Chen, C. Y. Hsu, "Growth of Ga-doped ZnO films with ZnO buffer layer by sputtering at room temperature," Superlattices and Microstructures, Vol. 44, pp. 742-753, 2008
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 28]
 R. C. Luo, T. M. Chen, K. L. Su, "Target Tracking Using Hierarchical Grey-Fuzzy Motion Decision-Making Method," IEEE Trans. on Systems, Man, and CyberneticsPart A: Systems and Humans, vol. 31, no. 3, pp. 179-86, 2001
[CrossRef] [Web of Science Times Cited 42] [SCOPUS Times Cited 52]
 S. F. Liu, Y. G. Dang, Z. G. Fang, Grey System Theory and Its Applications, Beijing, Science Press, pp. 61-68, 2004
 E. C. Chang, T. J. Liang, J. F. Chen, F. J. Chang, "Real-time implementation of grey fuzzy terminal sliding mode control for PWM DC-AC converters," IET Power Electronics, vol. 1, no. 2, pp. 235-244, 2008
[CrossRef] [Web of Science Times Cited 26] [SCOPUS Times Cited 29]
 K. L. Wen, "The Grey System Analysis and Its Application in Gas Breakdown and VAR Compensator Finding," International Journal of Computational Cognition, vol. 2, no. 1, pp. 21-44, 2004.
 W. F. Chang, Y. C. Wu, K. L. Wen, "Prediction of Gas Breakdown via a Fuzzy-Grey Approach," Proceedings of IEEE MELCON, pp. 831-34, 2004
 Y. S. Yang, W. Huang, "A grey-fuzzy Taguchi approach for optimizing multi-objective properties of zirconium-containing diamond-like carbon coatings," Expert Systems with Applications, vol. 39, pp. 743-750, 2012.
[CrossRef] [Web of Science Times Cited 27] [SCOPUS Times Cited 30]
 J. L. Lin, C. L. Lin, "The use of grey-fuzzy logic for the optimization of the manufacturing process," Journal of Materials Processing Technology, vol. 160, pp. 9-14, 2005.
[CrossRef] [Web of Science Times Cited 88] [SCOPUS Times Cited 119]
 N. M. Liu, J. T. Horng, K. T. Chiang, "The method of grey-fuzzy logic for optimizing multi-response problems during the manufacturing process: a case study of the light guide plate printing process," Int. J. Adv. Manuf. Technol., vol. 41, pp. 200-210, 2009.
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 29]
 R. J. Lian, "Grey-prediction self-organizing fuzzy controller for robotic motion control," Information Sciences 202 (2012) 73-89
[CrossRef] [Web of Science Times Cited 16] [SCOPUS Times Cited 20]
 Y. Wang, "Predicting stock price using fuzzy grey prediction system," Expert System with Applications, vol. 22, pp. 33-39, 2002
[CrossRef] [Web of Science Times Cited 150] [SCOPUS Times Cited 179]
 H. C. Chen, Y. C. Hu, J. Z. Shyu, G. H. Tzeng, "Comparing possibility grey forecasting with neural network-based fuzzy regression by an empirical study," Journal of Grey System, vol. 8, no. 2, pp. 93-106, 2005
 L. A. Zadeh, "Fuzzy Sets," Information and Control, vol. 8, pp. 338-52, 1965.
[CrossRef] [SCOPUS Times Cited 41985]
 A. W. Yao, S. C. Chi, C.K. Chen, "Development of an integrated Grey-fuzzy-based electricity management system for enterprises." Energy, vol. 30, no. 15, 2005.
[CrossRef] [Web of Science Times Cited 24] [SCOPUS Times Cited 34]
 J. L. Salmeron, E. Gutierrez, "Fuzzy grey cognitive maps in reliability engineering," Applied Soft Computing, vol. 12, pp. 3818-3824, 2012
[CrossRef] [Web of Science Times Cited 30] [SCOPUS Times Cited 32]
 J. L. Deng, "Grey Information Space," The Journal of Grey System, vol. 1, pp. 103-17, 1989.
 H. S. Wu, J. L. Deng, K. L. Wen, Introduction to Grey System Theory. Gou-Li Publisher: Taiwan, 1996 (in Chinese)
Web of Science® Citations for all references: 465 TCR
SCOPUS® Citations for all references: 42,557 TCR
Web of Science® Average Citations per reference: 18 ACR
SCOPUS® Average Citations per reference: 1,637 ACR
TCR = Total Citations for References / ACR = Average Citations per Reference
We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more
Citations for references updated on 2019-02-21 02:29 in 93 seconds.
Note1: Web of Science® is a registered trademark of Clarivate Analytics.
Note2: SCOPUS® is a registered trademark of Elsevier B.V.
Disclaimer: All queries to the respective databases were made by using the DOI record of every reference (where available). Due to technical problems beyond our control, the information is not always accurate. Please use the CrossRef link to visit the respective publisher site.
Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.