GIS (Gas Insulated Switchgear) equipment characteristic value extraction method based on local-region wavelet transformation

The invention discloses a GIS (Gas Insulated Switchgear) equipment characteristic value extraction method based on local-region wavelet transformation. The method comprises the following steps of firstly obtaining a GIS equipment opening time-current curve sampled by sampling equipment such as a sensor; then partitioning the curve based on characteristic points, and performing region wavelet denoising only on the interiors of subregions, so that wavelet denoising is not performed on other redundant data of the whole curve and thus the algorithm efficiency is improved; and then performing characteristic value extraction on the curve, comparing the characteristic values with experience characteristic values of a reference operation curve of the GIS equipment opening time-current curve under a normal operation state so as to judge the operation state of the monitored equipment, and determining whether to perform overhauling. The method has the advantages that on the premise of not reducing the extracted characteristic value precision, the computation burden is reduced and the method is efficient and practical.