Artificial intelligence-based distribution transformer anomaly analysis and early warning method
An artificial intelligence and abnormal technology, applied in the direction of prediction, instrument, character and pattern recognition, etc., to achieve the effect of reducing complaints, improving power supply reliability, and reliable data assurance
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[0028] Example: see figure 1 , figure 2 , image 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 and Figure 8 .
[0029] The specific steps of the distribution transformer abnormality analysis and early warning method based on artificial intelligence are as follows: 1. Collect the distribution transformer overload record data through corresponding sensors and perform preprocessing; 2. Based on the correlation analysis method of mutual information coefficient Select the key factors affecting the abnormality of the public variable from the data information; 3. Through multi-dimensional analysis methods, analyze the change of overload under different factors, and obtain the weight of each factor affecting the overload of the public variable; 4. Use the K-Means algorithm to analyze the overload Common change clustering analysis, get overload common change clustering results, select the best overload common change characteristics and types; 5. Based on the TOPSIS evaluat...
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