Dielectric surfaces exposed to partial discharges (PD) undergo aging, which
is reflected by changes in the discharge pulse form. An approach is descri
bed in which fuzzy logic and neural networks are used in conjunction with t
he wavelet transform to identify the parameters in the PD pulse form for th
e purpose of classifying the aging phenomena due to partial discharge degra
dation.