Reliability Relation Extraction Technology of Power Distribution Equipment Based on Machine Learning

Abstract

As the key link of power transmission in the power distribution system, the distribution transformer is the core of the entire power distribution system and is responsible for the electrical connection between the medium voltage side and the low voltage side, and based on this to further ensure the stable operation of the power distribution system. Data types, sources, selection principles and data processing methods relate to the operating state of distribution transformers; then expound the meaning of operating state indicators, and build a distribution transformer operating state index model; finally, an improved weight method is used to determine the distribution transformers of the weight coefficient of the running status indicator. Therefore, it is appropriate to verify the membership function and membership matrix selected in this paper. It is suitable for the fuzzy comprehensive evaluation calculation of the reliability of distribution transformers, which verifies the accuracy of the reliability evaluation results. The maintenance strategy of distribution transformers based on reliability assessment can be optimized according to the operation status of the equipment so as to improve the operation reliability of distribution transformers and ensure the safe, reliable and economical operation of the equipment. The maintenance strategy of distribution transformers based on reliability assessment can be optimized according to the operation status of the equipment, which is to improve the operation reliability of distribution transformers and ensure the safe, reliable and economical operation of the equipment.