Take a sneak peek at the new NIST.gov and let us know what you think!
(Please note: some content may not be complete on the beta site.).
NIST Authors in Bold
|Author(s):||X. Han; Nathanael A. Heckert; James J. Filliben; Yicheng Wang;|
|Title:||Statistical Analysis of Partial Discharge Phenomena - Time of Occurrence Distributions|
|Published:||October 01, 1998|
|Abstract:||This paper presents time-of-occurrence (phase) distributions of individual pulsating partial discharges (PDs) which occur in a point-dielectric gap in air for ac voltage conditions. It is determined that the pulse phase distribution is adequately modeled by a normal (Gaussian) distribution. Based on such best-fit normal distributions, estimated mean values of the phase and the standard deviations are given for the individual PD pulse distributions. For the alternating voltage case, the spread of time-of-occurrence distributions of succeeding pulses are universally broader than that of preceding pulses. PD pulse separations are non-uniform in phase. Further, if one assumes the usual sinusoidal waveform, then the voltage separation of PD pulses are also seen to be non-uniform.|
|Proceedings:||Proc., IEEE Intl. Symp. on Electrical Insulation and Dielectric Phenomena (CEIDP)|
|Pages:||pp. 407 - 411|
|Dates:||October 25-28, 1998|
|Keywords:||dielectric insulation,normal distribution,partial discharge,statistical analysis|
|Research Areas:||Electrical Metrology|
|PDF version:||Click here to retrieve PDF version of paper (3MB)|