Abstract
Substation equipment is not only the main part of the power grid but also the essential part to ensure the development of the national economy and People's Daily life of one of the important infrastructure. How to ensure its normal operation and find the sudden failure has become a hot issue to be solved urgently. For thermal fault diagnosis needs to classify and identify different power equipment first, this paper designed an SVM infrared image classifier, which can effectively identify three types of common power equipment. The classifier extracts HOG features from the infrared images of power equipment processed by the above segmentation and combines them with SVM multiclassification to achieve the purpose of improving the recognition accuracy. The experiment uses the classifier to identify three kinds of equipment, and the results show that the comprehensive recognition accuracy of the classifier is more than 95.3%, which is better than the traditional classification method and meets the demand for classification accuracy. In this paper, the traditional method of relative temperature difference is improved by using the temperature data of the infrared image, which can automatically judge the thermal failure level of electric power equipment. Experiments show that the diagnosis system designed in this paper can classify faults and give treatment suggestions while judging whether there are thermal faults for three types of power equipment, which verifies the feasibility and effectiveness of the substation infrared diagnosis technology designed in this paper.
Highlights
With the rapid development of the social economy, the requirements for the safety and reliability of substation equipment are constantly improving
Substation equipment in a long-term working state will inevitably have faults, and the thermal fault is the most common fault of electrical equipment, which is manifested in abnormal temperature inside the equipment: such as poor contact heating caused by accumulated pollution on the surface of electrical equipment, insufficient clamping force of isolating switch finger that leads to overheating of the switch knifeedge, and so on. erefore, detecting and diagnosing the temperature change of substation equipment plays an important role in the normal operation of the power grid [1]
After segmenting and classifying the infrared images of the equipment, this paper designs a fault diagnosis system for substation equipment based on infrared thermal image technology and realizes the accurate identification and diagnosis of thermal faults of three common power equipment, namely, high-voltage bushing, isolating switch, and equipment clamp
Summary
With the rapid development of the social economy, the requirements for the safety and reliability of substation equipment are constantly improving. Erefore, detecting and diagnosing the temperature change of substation equipment plays an important role in the normal operation of the power grid [1]. In current substations, infrared thermal image detection technology has been widely used for fault detection of power equipment. Infrared thermal imaging technology can judge whether there is a thermal fault in the current running equipment in time when the power equipment is running, In order to quickly locate potential dangerous areas, it is convenient to take control measures before equipment failure and operation interruption, reduce the possibility of users’ power interruption caused by substation power outage detection and troubleshooting, prevent premature failure, delay the service life of power equipment, and reduce expensive power outage and downtime [2]. It is explained that choosing the appropriate air inlet and outlet position in the substation plays a key role in avoiding overheating of the transformer [8]
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