Power transformer is a very important equipment in the power grid,which is directly related to the safe and stable operation of the power grid,and also directly related to the quality of electric energy,affecting various industries and households;Therefore,how to ensure the safe and stable operation of power transformers is crucial.However,in the long-term operation of the transformer,affected by heat,electricity and other factors,the risk of defects gradually increases,and the defect point will quickly develop into a fault,resulting in the transformer outage,affecting the stable operation of the power grid,and even causing a large-scale power outage.Through the detection and analysis of a series of transformer status data,we find the abnormal situation of the transformer,and integrate multiple models to calculate,analyze and process the health index to ensure and improve the data quality of the power transformer,so as to ensure and optimize the healthy,stable,continuous and efficient operation of the transformer.
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