Diagnosis Method for Heating Fault of 35 kV Box Type Transformer Based on Computer Communication
The safe and stable operation of 35 kV box type transformers is crucial for the reliability of distribution networks,but they face the hidden danger of heating faults.The article proposes a method for diagnosing heating faults based on computer communication.This method utilizes fiber Bragg grating sensors for temperature data acquisition,achieves data transmission through RS-485 and industrial Ethernet,and combines Support Vector Machine(SVM)and Convolutional Neural Network(CNN)algorithms for intelligent fault diagnosis.The experimental results show that compared with traditional methods,the proposed method significantly improves the fault detection rate,false alarm rate,false alarm rate,and diagnostic speed,providing a new technical means for intelligent operation and maintenance of transformers.
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