Title :
An automated recognition system of ultra-high-frequency PD in transformers
Author :
Yuan, Peng ; Wang, Guoli ; Hao, Yanpeng ; Li, Yanming ; Xu, Dake
Author_Institution :
Sch. of Electr. Eng., Xi´´an Jiaotong Univ., China
Abstract :
The ultra-high-frequency (UHF) technique of PD detection has newly been put forward to study the discharge properties in transformers. In this paper, the design of an automated recognition system of UHF PD is described in detail. The system hardware includes UHF antenna and spectral analyzer. And the software consists of four parts, namely, data acquisition, discharge patterns, feature extraction from the measured patterns and pattern recognition using neural network (NN) with genetic algorithms (GA). Application of the system to some typical PD models is also presented and discussed. Experimental results show that the designed system has superior performance to measure the time and amplitude of the high-frequency (adjustable center frequency between 500-1000 MHz) and narrowband (5 MHz) signals emitted by PD, and it has strong functions of data processing, display, data analysis and recognition.
Keywords :
UHF antennas; data acquisition; feature extraction; genetic algorithms; insulation testing; neural nets; partial discharge measurement; pattern recognition; power transformer insulation; power transformer testing; spectral analysers; 5 MHz; 500 to 1000 MHz; UHF antenna; automated recognition system; data acquisition; discharge pattern; feature extraction; genetic algorithm; insulation testing; neural network; pattern recognition; power transformer; spectral analyzer; ultra-high-frequency PD detection; Antenna measurements; Data acquisition; Feature extraction; Hardware; Neural networks; Partial discharges; Software measurement; Spectral analysis; Transformers; UHF antennas;
Conference_Titel :
Electrical Insulation and Dielectric Phenomena, 2002 Annual Report Conference on
Print_ISBN :
0-7803-7502-5
DOI :
10.1109/CEIDP.2002.1048846
