AUTOMATIC GIS PARTIAL DISCHARGE IDENTIFICATION METHOD

摘要

One automatic GIS partial discharges discriminance automatically makees character portion discharge defect with being provided to using partial discharge signal. It determine whether input partial discharge signal data or be not PRPS (pulse train of stage decomposition) data, in addition whether this is PRPD (PhaseResolved Partial Discharges) data (S11). If partial discharge signal data is PRPS data. Partial discharge defect is automatically inferred, by using the individual defect for checking artificial neural network algorithm (S12, S13). Whether partial discharge signal data is PRPD data, and data are applied to PRPD first and classify artificial neural network algorithm then it determine whether algorithm application result is classified as PRPD individual defects or not (S15, S16, S17).