NDLI: Convergence adjustment of deflection yoke using soft computing techniques

Content Provider	IEEE Xplore Digital Library
Author	Won-Kyung Song Joo-Han Kim Won-Chul Bang Sungwon Joo Zeungnam Bien Sangbong Park
Copyright Year	1999
Description	Author affiliation: Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Taejon, South Korea (Won-Kyung Song)
Abstract	A high quality deflection yoke (DY) is an essential factor for a high quality monitor. Currently, the DY adjustment process is done manually by attaching ferrite sheets on the inside surface of the DY. In this paper, we deal with the convergence adjustment algorithms employed in the guidance system. An inference engine that is based on soft computing techniques is proposed to systematically deal with several resources including the expert's knowledge in the convergence adjustment process of the DY. In our approach, the rough set theory is used to handle the input/output data collections of the DY adjustment, and the fuzzy logic and evolutionary programming are used to model the plant and to tune the model. With the given initial convergence, a rough set driven coarse search part finds a coarse area and then more precise positions are searched and decided in the fuzzy inference engine driven fine search part. Initial experimental results show that the proposed algorithm works well in the real convergence adjustment process of the DY.
Starting Page	538
Ending Page	543
File Size	634140
Page Count	6
File Format	PDF
ISBN	0780354060
ISSN	10987584
DOI	10.1109/FUZZY.1999.793298
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-08-22
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Convergence Inference algorithms Monitoring Joining processes Ferrites Engines Set theory Fuzzy logic Genetic programming Logic programming
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Theoretical Computer Science Software

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