Title :
Power spectral density estimation of randomly sampled partial discharge signals
Author :
Contin, Alfkedo ; Montanari, GianCarlo ; Cavallini, Andrea
Author_Institution :
Dipt. di Elettrotecnica, Elettronica ed Inf., Trieste Univ., Italy
Abstract :
Results of investigations performed in order to verify whether the Power Spectral Density Function (PSDF), estimated from a sample of Partial Discharge (PD) pulse signals, can summarize the spectral characteristics of the whole population of discharge pulses generated by a PD phenomenon, are reported. The PSDF of sequences of PD pulses produced by either corona or surface discharges, taken as a reference, are compared with those obtained from samples of each population, selected using the Poisson technique. It is shown that an accurate PSDF is obtained already with a relatively-small amount of pulses, particularly for corona discharges, and that the PSDF of the two PD phenomena differ at high frequencies
Keywords :
Poisson distribution; Weibull distribution; corona; insulation testing; partial discharge measurement; pulse measurement; signal sampling; spectral analysis; surface discharges; PD pulse signals; Poisson technique; Weibull distribution; corona discharges; insulation system diagnosis; power spectral density estimation; power spectral density function; randomly sampled partial discharge signals; surface discharges; Corona; Density functional theory; Electrodes; Instruments; Partial discharges; Pulse generation; Sampling methods; Signal analysis; Signal generators; Surface discharges;
Conference_Titel :
Conduction and Breakdown in Solid Dielectrics, 1998. ICSD '98. Proceedings of the 1998 IEEE 6th International Conference on
Conference_Location :
Vasteras
Print_ISBN :
0-7803-4237-2
DOI :
10.1109/ICSD.1998.709244