XLPE power cable typical defect partial discharge type identification system and method
A partial discharge and power cable technology, applied in the field of partial discharge type identification system for typical defects of XLPE power cables, can solve the problems of low neural network iteration efficiency, large convergence probability constraints, poor recognition accuracy, etc., to improve recognition efficiency and recognition accuracy, the effect of improving the convergence speed
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[0018] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:
[0019] A partial discharge type identification system for typical defects in XLPE power cables, such as figure 1 and 2 As shown, it includes a data module 1, a feature extraction module 2, a training module 3 and an identification module 4, wherein the data module 1 is used to carry out partial discharge data of typical XLPE power cables measured by various partial discharge measurement methods Weight fitting, the partial discharge data is the power generation amount and the corresponding phase, superimposing the obtained partial discharge data, and obtaining a partial discharge pulse signal through a discharge screening program;
[0020] The feature quantity extraction module 2 is used to draw time-based analysis mode time-domain spectrogram and phase-based analysis mode frequency-domain spectrogram by using partial discharge pulse signal, and...
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