NDLI: Development of an Instrument in Transformer Winding Distortion Measurement Based on Artificial Neural Network and S3C2410

Content Provider	IEEE Xplore Digital Library
Author	Liu Jun Zhao Xueliang Feng Jianhua Wang Lei
Copyright Year	2008
Description	Author affiliation: Center For Hydrogeology & Environ. Geol., Baoding, China (Zhao Xueliang; Feng Jianhua; Wang Lei) \|\| Coll. of Mech. & Electr. Eng., Agric. Univ. of Hebei, Baoding, China (Liu Jun)
Abstract	Taking an instrument in transformer winding distortion measurement as an example, a solution is proposed based on Samsung's S3C2410 processor and embedded Linux operating system Hardware design is introduced, and software design also is described. The application of the artificial neural network technique to the frequency response analysis method (FRA) which is used to detect transformer winding deformation is presented. The system has wide application prospect with the advantages of small volume, low cost, high reliability, etc.
Starting Page	808
Ending Page	812
File Size	302215
Page Count	5
File Format	PDF
ISBN	9780769534893
DOI	10.1109/ICACTE.2008.91
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-20
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instruments Windings Artificial neural networks Application software Software design Linux Operating systems application driver multi-parameter Linux operating system Hardware Frequency response Distortion measurement ARM
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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Development of an Instrument in Transformer Winding Distortion Measurement Based on Artificial Neural Network and S3C2410