Power transmission equipment defect analysis method and system based on set pair analysis and K-means clustering
A k-means clustering, power transmission equipment technology, applied in character and pattern recognition, instruments, data processing applications, etc., can solve problems such as classification and processing of defects in power transmission and transformation equipment, data disorganized, etc., to achieve collection and management. The scientific and effective effect of
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[0024] Below, in conjunction with accompanying drawing and specific embodiment, the present invention is described further:
[0025] refer to figure 1 As shown, the defect analysis method for power transmission equipment based on set pair analysis and K-means clustering provided in this embodiment includes:
[0026] 101. Obtain discrete data on defects in power transmission equipment and asset data on power transformation equipment;
[0027] 102. Carry out K-means clustering and division of the defect data in the defect discrete data of the power transmission equipment to realize the sorting of the defect data; that is, through this step, the defect data can be unified
[0028] 103. Perform heterogeneous data isomorphism processing on the defect data after K-means clustering division to lay the foundation for data analysis in subsequent steps;
[0029] 104. Based on the defect data processed by isomorphism and the acquired data of substation equipment assets, the correlation...
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