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In order to meet the requirements of online fault detection for dry reactor, an online fault detection technology based on improved Kalman filter is proposed. The main content of the technology is based on the dry reactor detection technology, through the study of improved Kalman filter, the use of fault diagnosis and other methods, and finally through the experiments and analysis to build improved Kalman filter dry reactor online fault detection research means. The experimental results show that the maximum relative error of the improved Kalman filter is 6.039%, and the average relative error is 2.388%. The improved algorithm is very effective and greatly improves the prediction accuracy. The research based on improved Kalman filter can meet the demand of online fault detection of reactor.

With the advancement of urban construction, more and more distribution network lines are changed from overhead lines to cable lines. Currently, the distribution network cable connection generally adopts the European or American cable elbow. If the temperature changes inside the cable elbow can be monitored in time, it will help to find the hidden fault of the cable elbow in time and improve the safe operation level of the power grid. In this paper, the online temperature measurement device of distribution network cable is discussed and researched, and a contact-type inductive wireless temperature measurement sensor suitable for the elbow joint of distribution network cable is designed. The sensor not only can accurately measure temperature, but also has the characteristics of a convenient communication network, safe and reliable information, and strong insulation ability, which is suitable for large-scale promotion and application.

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