Random sampling and data processing for PD-pulse height and shape analysis

A measuring system for the digital acquisition of partial discharge (PD) pu lse signals, based on the last generation of oscilloscopes, has been develo ped in order to perform both PD pulse shape and PD pulse height analysis, W ide-band, fast sampling rate and individually-triggerable memory blocks are available for the acquisition of PD pulse signals. However, a problem of s ampling the population of PD pulses arises from the limited available on-li ne storage memory. Four sampling techniques are investigated and evaluated in order to record an amount of PD pulses which enables PD stochastic infer ence for a minimum of the on-line memory use. Some statistical indexes base d on the pulse-height and pulse-phase distributions are used to compare per formances of the different techniques. It is shown that a technique based o n the Poisson law provides the most accurate sampling of PD pulses, while m inimizing the memory, particularly in the presence of two simultaneously ac tive PD phenomena. The developed procedure enables an accurate analysis of the shape of a large number of PD signals, but also stochastic processing o f height distributions, which is becoming a reference for PD pattern analys is.