Title :
Partial discharge pulse distribution pattern analysis
Author_Institution :
Konae Res. Lab., Kyushu Univ., Tokyo, Japan
fDate :
1/1/1995 12:00:00 AM
Abstract :
Statistical data analysis has been recently requisite for partial discharge (PD) study. This has been enabled by the recent development of microprocessors or the downsizing of computers. It is important to pay more attention to profiles of a packet of PD pulses on the voltage phase angle. Statistical parameters such as skewness and kurtosis have been intensively investigated for PD analysis. More recently, the neural network algorithm has been utilised especially to discriminate PD signals from noise signals for insulation diagnosis
Keywords :
Monte Carlo methods; electrical engineering computing; fault diagnosis; insulation testing; neural nets; partial discharges; signal processing; statistical analysis; stochastic processes; Monte Carlo simulation; XLPE cable; downsizing; insulation diagnosis; kurtosis; microprocessors; neural network algorithm; noise signals; partial discharge; profiles; pulse distribution pattern analysis; skewness; statistical data analysis; stochastic parameters;
Journal_Title :
Science, Measurement and Technology, IEE Proceedings -
DOI :
10.1049/ip-smt:19951561
