NDLI: Optimal Design on Spring of Vacuum Switchgear Operating Device by Genetic Algorithms

Content Provider	IEEE Xplore Digital Library
Author	Huabin Wen Jiyan Zou Zhizhong Zhao Huajun Dong
Copyright Year	2006
Description	Author affiliation: Dept. of Electr. & Electron. Eng., Dalian Univ. of Technol. (Huabin Wen; Jiyan Zou; Zhizhong Zhao; Huajun Dong)
Abstract	A new type of operating device for switchgear is presented, and the application and function of the spring in operating device is analyzed in details. Meanwhile, using the genetic algorithms, the design on the spring of operating device was optimized in multi-object, and the type test of the optimized spring was also passed. The simulations and experimental results show that it is effective to design the spring by the genetic algorithms, which not only provide the theoretical basis for the spring design, but also confirm that our design can be used successfully in practical applications
Starting Page	7665
Ending Page	7669
File Size	262166
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1713458
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Springs Switchgear Genetic algorithms Design optimization Genetic engineering Testing Neural networks Intelligent control Design automation Optimum design Operating device Spring
Content Type	Text
Resource Type	Article

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Optimal Design on Spring of Vacuum Switchgear Operating Device by Genetic Algorithms