Instruments and Systems: Monitoring, Control, and Diagnostics Annotation << Back Mathematical modeling of statistic characteristics of partial discharges in the diagnostics of high-voltage equipment SHAKHNIN V.A. CHEBRYAKOVA J.S. MIRONENKO J.V. The paper deals with diagnosis of highvoltage equipment on the statistical characteristics of partial discharges (PD). Shown that the occurrence of partial discharges in the insulation of highvoltage equipment should be viewed as a stationary or periodic nonstationary random pulse process. The spectral density of the process is chosen as the diagnostic characteristics of highvoltage insulation. The mathematical model, which describes the spectral distribution of the electrical noise, is suggested. The model is designed for the diagnostics of highvoltage equipment with the help of the electrical-noise methods. In order to test the adequacy of the model there were analyzed the features of the hardware analysis of the spectral density of the noise caused by partial discharges indiagnosed highvoltage equipment. To decrease the discrete components in the spectrum of the signal a counter connection of two identical partial discharge sensors, disposed on opposite sides relative to the axis of symmetry of the apparatus diagnosed at the same distance from it, is proposed. Studies have shown that the parameters of the PD in two quite distant areas of the dielectric weakly correlated with each other and, therefore, the spectral density of the noise at such inclusion sensors are added. To confirm the adequacy of the proposed model of electrical noise in the insulation of the singlephase electrical power autotransformer the apparatus for the experimental study of the spectral density of electrical noise was invented. Keywords: high-voltage equipment, diagnostics, partial discharges, random pulse process, autocorrelation function, spectral density of PD-noise. Contacts: E-mail: vshakhnin@rambler.ru Pp. 52-58.