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

Author

Jun, Liu ; Xueliang, Zhao ; Jianhua, Feng ; Lei, Wang

Author_Institution

Coll. of Mech. & Electr. Eng., Agric. Univ. of Hebei, Baoding, China

fYear

2008

fDate

20-22 Dec. 2008

Firstpage

808

Lastpage

812

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.

Keywords

Linux; distortion measurement; embedded systems; frequency response; hardware-software codesign; microprocessor chips; neural chips; power engineering computing; transformer windings; Samsung S3C2410 processor; artificial neural network; embedded Linux operating system hardware design; frequency response analysis method; software design; transformer winding deformation; transformer winding distortion measurement; Application software; Artificial neural networks; Distortion measurement; Frequency response; Hardware; Instruments; Linux; Operating systems; Software design; Windings; ARM; Linux operating system; application; driver; multi-parameter;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Computer Theory and Engineering, 2008. ICACTE '08. International Conference on

Conference_Location

Phuket

Print_ISBN

978-0-7695-3489-3

Type

conf

DOI

10.1109/ICACTE.2008.91

Filename

4737069