A Method for Monitoring and Diagnosing Abnormal Temperature Rise of Transformer Based on Probability and Statistics
A technology of probability statistics and diagnosis methods, applied in the field of transformer operation and maintenance, can solve the problems such as the inability to grasp the accuracy of the oil temperature of the upper layer of the transformer and the thermometer of the winding temperature, the reduction of the load capacity of the transformer, the reduction of the heat dissipation capacity of the transformer, etc. Input cost, improved reliability, high reliability effect
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[0022] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
[0023] Such as figure 1 As shown, there are n sets of transformers with the same capacity and the same type of heat dissipation, each number is 1, 2, 3, 4, 5...n, and the measured ambient temperature is t 1 (where t 1 ≥20℃), the upper oil temperature is t 2 , the winding temperature is t 3 , then the upper oil temperature rise T 1 =t 2 -t 1 , winding temperature rise T 2 =t 3 -t 1 .
[0024] The data collection of transformer winding temperature rise follows the following principles: if the ambient temperature is above 20°C, every 5°C is a file, if the transformer load is above 30%, every 10% is a file, and there are 35 files in total, and the data of each file should be recorded separately. Taking three transformers of the same type in a station as an example when the ambient temperature is 25°C and the load is 70% of the w...
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