A Method for Disconnecting Switch Defects

Open high voltage disconnecting switch is the most widely used and extensive high voltage switchgear in the power system. It generally works in the outdoor environment, and is affected by uneven manufacturing process, changeable operating environment and untimely maintenance, and its fault defects occur frequently, which affects the safe and stable operation of the power grid. At present, most of the quantitative detection technologies that are not mature for relatively large mechanical faults rely on the experience of operation and maintenance personnel. In this paper, we propose the mesh point identification method based on multi-window slope, which extract the slope features of the standard curve, so as to realize the segmentation of the stroke curve. According to the status identification of different models of disconnecting switches on the same stage, make the difference between the detection data to be identified and the historical standard detection data, extract the time domain features related to the difference curve, and realize the identification of the mechanical status of different types of disconnecting switches combined with the support vector machine algorithm.