Multi-feature Fusion-based Detection of Partial Discharge State of GIS
In order to optimize the detection effect of GIS partial discharge state and improve the detection rate,the princi-ple of multi feature fusion was introduced,and a study detection method based on multi feature fusion was carried out.First partial discharge data from GIS equipment was collected and preprocessed to provide strong data support for subse-quent discharge state detection.Second GIS partial discharge features including time-domain feature and frequency-domain feature were obtained by feature extraction.On this basis,the extracted time-domain and frequency-domain features were fused,and the GIS partial discharge state was detected by using the fused GIS partial discharge characteristics.The appli-cation of the proposed method was proved capable of achieving detection rates of discharge state higher than 98%with re-spect to four different types of partial discharge insulation fault models,and better capturing partial discharge characteris-tics of GIS equipment,and facilitating more accurate determination of GIS discharge state.
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