Distribution network cable fault discrimination method and system using grounding current signal
A ground current and cable fault technology, applied in relational databases, data processing applications, special data processing applications, etc., can solve problems such as misjudgment or missed judgment, achieve small safety restrictions, easy promotion and application, and accurate result reliability Effect
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Embodiment 1
[0050] This embodiment provides a method for discriminating faults of distribution network cables using ground current signals, which includes steps:
[0051] 1) Select a typical distribution network cable line that needs to be monitored, monitor its grounding current for a long time, and obtain original data;
[0052] 2) Use t-SNE to carry out data mining and visualization processing on the monitored data to extract the characteristics of the original data, and use DBSCAN to perform cluster analysis on it, and classify the "abnormal" clusters without periodic changes with Compare the actual situation on site and establish a knowledge base based on ground current characteristics;
[0053] 3) Using the knowledge base based on ground current characteristics, compare the ground current signals monitored in real time, and update the knowledge base according to the site conditions, so as to realize the real-time discrimination of the status characteristics of the cable.
[0054] I...
Embodiment 2
[0071] This embodiment provides a distribution network cable fault discrimination system using ground current signals, which includes:
[0072] Raw data acquisition module: select a typical distribution network cable line that needs to be monitored, monitor its grounding current for a long time, and obtain raw data;
[0073] t-SNE data processing module: use t-SNE to perform data mining and visualization processing on the monitored data to extract the characteristics of the original data;
[0074] DBSCAN clustering module: use DBSCAN to perform cluster analysis on the characteristics of the original data;
[0075] Knowledge base building module: compare the classified "abnormal" clusters without periodic changes with the actual situation on site, and establish a knowledge base based on ground current characteristics;
[0076] Real-time identification module: use the knowledge base based on ground current characteristics to compare the ground current signals monitored in real ...
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Abstract
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