DocumentCode
2245273
Title
PD pulse distribution pattern analysis
Author
Tanaka, T.
Author_Institution
CRIEPI, Japan
fYear
1993
fDate
28-30 Sep 1993
Firstpage
31
Lastpage
35
Abstract
Statistical data analysis has been recently requisite for partial discharge (PD) study. This has been enabled by the recent development of micro-processors or the downsizing of computers. It is important to pay much more attention for profiles of a packet of PD pulses to the voltage phase angle. Statistical parameters such as the skewness and the kurtosis have been intensively investigated for PD analysis. More recently, a neural network algorithm has been utilised especially to discriminate PD signals from noise signals for insulation diagnosis
Keywords
data analysis; insulation testing; partial discharges; statistical analysis; PD pulse distribution pattern; computer downsizing; insulation diagnosis; kurtosis; micro-processors; neural network algorithm; noise signals; partial discharge; skewness; statistical data analysis; voltage phase angle;
fLanguage
English
Publisher
iet
Conference_Titel
Partial Discharge, 1993., International Conference on
Conference_Location
Canterbury
Print_ISBN
0-85296-579-6
Type
conf
Filename
341445
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