Development on the Partial Discharge On-Line Monitoring System of Transformer Based on Embedded System

Author

Zhang Dening ; Zhang Shuguang ; Suo Xuesong ; Cheng Man ; Kou Hong Juan ; Shi Xiang Ling ; Zhang ; Li Haiquan

Author_Institution

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

fYear

2008

fDate

15-17 Aug. 2008

Firstpage

950

Lastpage

953

Abstract

Ultrasonic detection method is used in this system, a solutions based on the uClinux embedded operating system and Samsung S3C2410 processor is proposed. The hardware design and software design for system are discussed in detail. The paper studies the application technology of Neural networks and wavelet transform in PD online monitoring system in power transformer. This system has the characteristic of small volume, low cost, high accuracy, high reliability and etc. It can be used widely in future.

Keywords

Linux; computerised monitoring; embedded systems; microprocessor chips; neural nets; partial discharge measurement; power engineering computing; power transformers; ultrasonic measurement; wavelet transforms; PD online monitoring system; Samsung S3C2410 processor; hardware design; neural networks; partial discharge online monitoring system; power transformer; software design; uClinux embedded operating system; ultrasonic detection method; wavelet transform; Application software; Embedded system; Hardware; Monitoring; Neural networks; Operating systems; Paper technology; Partial discharges; Power transformers; Software design; Embedded System; Neural Network; Partial Discharge; Wavelet Packet Transform; uClinux Operating System;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2008. IIHMSP '08 International Conference on

Conference_Location

Harbin

Print_ISBN

978-0-7695-3278-3

Type

conf

DOI

10.1109/IIH-MSP.2008.123

Filename

4604207