Study on Fault Operation Status Detection of High Voltage Electrical Testing Equipment in Substation
In order to solve the problems of unclear hot position and low detection accuracy in existing fault detection methods for high-voltage electrical testing equipment in substations,this work studied fault operation status detection of high-voltage electrical testing equipment in substations.First,the CCD image sensor was used to capture the equipment,and then the collected fault images were segmented using a segmentation threshold to identify the corresponding fault fea-tures of the equipment in each area.Next,sensors were used to analyze equipment fault images,and information percep-tion was carried out through wireless sensor networks to extract status data of equipment fault operation.Then,the device information processed by compressed sensing was used for signal reconstruction to obtain the probability of failure.Final-ly,DS reasoning method was used to fuse the information evidence of fault probability,and after analysis and decision-making,the specific fault state was obtained.Moreover,the equipment generated heat during operation.Thereby by mo-nitoring the temperature changes of the equipment,the operating status of the equipment could be determined,providing additional information for determining fault status.The experimental results showed that the method proposed in this pa-per can effectively detect the overheating position and temperature of substation equipment,with a detection accuracy be-tween 98%and 100%,achieving a high level of effectiveness.