PD pulse distribution pattern analysis

Author

Tanaka, T.

Author_Institution

Central Res. Inst. of Electr. Power Ind., Japan

Volume

2

fYear

1994

fDate

3-8 Jul 1994

Firstpage

662

Abstract

Statistical data analysis has been requisite for partial discharge (PD) study. This has been enabled by the development of microprocessors or the downsizing of computers. It is important to pay much more attention to profiles of a packet of PD pulses on the voltage phase angle. Statistical parameters such as the skewness and the kurtosis have been intensively investigated for PD analysis. More recently, the neural network algorithm has been utilized especially to discriminate PD signals from noise signals for insulation diagnosis

Keywords

charge measurement; electrical engineering computing; insulation testing; microcomputer applications; neural nets; overvoltage; partial discharges; statistical analysis; stochastic processes; PD pulse distribution pattern; insulation diagnosis; kurtosis; micro partial discharge; microprocessors; neural network algorithm; noise signals; overvoltage; partial discharge; skewness; statistical parameters; stochastic parameters; voltage phase angle; Acceleration; Circuits; Data analysis; Insulation; Neural networks; Partial discharges; Pattern analysis; Pulse generation; Stochastic processes; Voltage;

fLanguage

English

Publisher

ieee

Conference_Titel

Properties and Applications of Dielectric Materials, 1994., Proceedings of the 4th International Conference on

Conference_Location

Brisbane, Qld.

Print_ISBN

0-7803-1307-0

Type

conf

DOI

10.1109/ICPADM.1994.414097

Filename

414097