Title :
Transformer Substation Online Detection System Based on Lon Works Bus
Author :
Ying, Xiao ; Xuange, Peng
Author_Institution :
Comput. Sci. Dept., Jinggangshan Univ., Ji´´an, China
Abstract :
We propose the transformer substation online detection system based on Lon Works Bus which uses the intelligent neuron chip as the control core of the intelligent node. The Lon Works Bus-based system is used for real-time data acquisition, parameter calculation, equipment state analysis, fault diagnosis, high-speed information transmission of substation. We improve the anti-interference ability and measuring accuracy of the system by using the Fourier filtering algorithm in the measurement of current and voltage, which exchange DC component in the process of AC signal filtration. The experiment has been proven that the system improve the reliability and safety of high pressure equipment in substation.
Keywords :
Fourier transforms; data acquisition; fault diagnosis; filtering theory; power engineering computing; power transformers; substations; Fourier filtering algorithm; Lon Works Bus; equipment state analysis; fault diagnosis; high-speed information transmission; intelligent neuron chip; parameter calculation; real-time data acquisition; substation equipment; transformer substation online detection system; Control systems; Current measurement; Data acquisition; Fault diagnosis; Information analysis; Neurons; Real time systems; Semiconductor device measurement; Substations; Transformer cores; Correspondence; Detection; Network Protocol; Neuron Chip;
Conference_Titel :
Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on
Print_ISBN :
978-0-7695-3876-1
DOI :
10.1109/ICIII.2009.81
