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Diagnosis system and method for transformer winding fault classification and location

A transformer winding and fault classification technology, applied in transformer testing, electrical winding testing, instruments, etc., to achieve good and stable results

Active Publication Date: 2022-04-08
CHINA THREE GORGES UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The invention makes fault classification and positioning problem diagnosis effect good

Method used

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  • Diagnosis system and method for transformer winding fault classification and location
  • Diagnosis system and method for transformer winding fault classification and location
  • Diagnosis system and method for transformer winding fault classification and location

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Embodiment Construction

[0051] Such as figure 1 As shown, the diagnostic system for transformer winding fault classification and location, the system calls the virtual channel creation, triggering, timing, reading, writing and other functions of the NI-DAQ toolbox in the labview software to realize the construction of the data acquisition system. The system includes the following module parts:

[0052] Frequency scanner 1, transformer winding 2, detection terminal 3;

[0053] The frequency scanner 1 is connected to one end of the inductor L1, the other end of the inductor L1 is connected to one end of the voltage dividing resistor R1, and the other end of the voltage dividing resistor R1 is connected to the grounding point N of the transformer winding.

[0054]One end of the high-voltage winding A of the transformer winding 2 is connected to the grounding point N, and the other end of the high-voltage winding A of the transformer winding 2 is connected to one end of the capacitor C, and the other en...

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PUM

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Abstract

A diagnostic system and method for classification and location of transformer winding faults, the system includes a frequency sweeper, a transformer winding, a detection terminal, an inductor L1, a voltage dividing resistor R1, a voltage dividing resistor R2, and a capacitor C. The frequency sweep signal is output by the frequency sweeper, which is input to the transformer winding from the grounding point N through the inductor L1 and the voltage dividing resistor R1, flows through the high voltage winding A inside the transformer winding and is output, passes through the capacitor C and is divided by the voltage dividing resistor R2 , the detected terminal collects frequency sweep data; the detection terminal diagnoses the fault type and location of the transformer winding through the constructed deep learning convolutional neural network model. The invention solves the problem of fault location on the basis of realizing high accuracy of fault type diagnosis, and has certain engineering significance. The simulation sample constructed in the present invention has good effect, the fault type diagnosis accuracy is as high as 100%, and the fault location accuracy rate is as high as 83.33%.

Description

technical field [0001] The invention relates to the field of fault diagnosis of electrical equipment, in particular to a diagnosis system and method for fault classification and location of transformer windings. Background technique [0002] As an internal fault, transformer winding fault is a cumulative fault. The frequency response method has high sensitivity to winding faults. Compared with other detection methods, it can detect faults more timely and effectively, and prevent undetected small deformations from gradually evolving into larger deformation faults, which pose a threat to the operation of the power grid, so it has received widespread attention. Among the existing diagnostic methods, a large number of studies have used the frequency sweep impedance method to analyze the single fault sweep curve and the change of impedance value. However, the impedance value does not vary monotonically with the fault location. Only using the impedance value as a criterion cann...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/72G01R31/52G01R31/62G06K9/62G06N3/04
CPCG01R31/72G01R31/52G01R31/62G06N3/049G06N3/047G06F18/2415G06F18/214
Inventor 李振华张宇杰卢梦瑶王中李红斌谢辉春姚为方吴琳
Owner CHINA THREE GORGES UNIV
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