This invention relates to a
surge arrester condition monitoring system, comprising a
data acquisition module, a
lightning strike assessment module, a prediction module, and a threshold adjustment module. The
data acquisition module collects current and
voltage waveforms from multiple
lightning strikes within a single
lightning event, as well as the time intervals between adjacent strikes. The
lightning strike assessment module calculates the
intensity ratio of single lightning strikes based on the
surge arrester's baseline withstand parameters, quantifies the
cumulative effect of consecutive lightning strikes using a time interval-based correction coefficient, and obtains a weighted fusion index of the comprehensive
impact of lightning events on the
surge arrester. The prediction module uses this index, combined with the
natural aging rate, to update the surge arrester's estimated remaining lifespan. The threshold adjustment module adjusts the abnormal monitoring thresholds for operating parameters such as leakage current, resistive current, and temperature based on the updated remaining lifespan. This invention achieves
quantitative assessment of the surge arrester's aging state,
dynamic prediction of remaining lifespan, and intelligent adjustment of monitoring thresholds, effectively improving the foresight and accuracy of
condition monitoring.