Automatic Monitoring Technology for Distribution Transformer Faults Based on Multidimensional Parameter Correlation Analysis
In order to improve the accuracy of automatic monitoring of distribution transformer faults and ensure the safe and stable operation of the power grid,research on automatic monitoring technology of distribution transformer faults was carried out using multidimensional parameter correlation analysis.Firstly,deploy sensors to collect multi parameter data of distribution transformers.Secondly,construct a multidimensional parameter correlation analysis model to extract key characteristics of distribution transformer operation.Finally,set the normal values and fault thresholds of electrical parameters during the operation of the distribution transformer,monitor the dynamic changes of various parameters in real time,compare them with the set threshold,and determine the operating status of the transformer.The results show that after the application of this technology,various types of faults can be accurately monitored and identified,and the monitoring results are consistent with the actual electrical parameter values,resulting in a significant improvement in monitoring accuracy.
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