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

Inactive Publication Date: 2019-09-13
EXAMING & EXPERIMENTAL CENT OF ULTRAHIGH VOLTAGE POWER TRANSMISSION COMPANY CHINA SOUTHEN POWER GRID
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Problems solved by technology

[0004] In order to solve the technical problem that the defect data of power transmission and transformation equipment is disorderly and disorderly, and the defects of power transmission and transformation equipmen

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  • Power transmission equipment defect analysis method and system based on set pair analysis and K-means clustering
  • Power transmission equipment defect analysis method and system based on set pair analysis and K-means clustering
  • Power transmission equipment defect analysis method and system based on set pair analysis and K-means clustering

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Embodiment Construction

[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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Abstract

The invention discloses a power transmission equipment defect analysis method and system based on set pair analysis and K-means clustering. The method comprises: acquiring power transmission equipmentdefect discrete data and power transformation equipment asset data; performing K-means clustering division on defect data in the defect discrete data of the power transmission equipment; carrying outheterogeneous data isomorphism processing on the defect data after the K-means clustering division; establishing an equipment and defect association relationship based on the defect data after isomorphism processing and the acquired power transformation equipment asset data; performing unified analysis on the established equipment and defect association relationship to establish preliminary cluster defect information, and generating a final cluster defect library through probability analysis and proportion analysis; and analyzing the defects of the power transmission equipment based on the generated final cluster defect library. The method can provide scientific and effective help for analysis and processing of defects of power transmission and transformation equipment, lays a foundationfor early warning of defect faults, and is beneficial to supporting safe and stable operation of a power grid.

Description

technical field [0001] The invention relates to the technical field of power analysis, in particular to a defect analysis method and system for power transmission equipment based on set pair analysis and K-means clustering. Background technique [0002] With the rapid development of power system construction, there are more and more types of power transmission and transformation equipment, and more and more manufacturers of power transmission and transformation equipment. Due to differences in manufacturers, equipment, manufacturing processes, and materials, there are great differences in equipment defects of the same equipment from different manufacturers. The number and types of defects in power transmission and transformation equipment brought about by healthy competition between a large number of manufacturers and equipment are increasing day by day. . A large number and variety of defects in power transmission and transformation equipment have gradually affected the sa...

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Application Information

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IPC IPC(8): G06K9/62G06Q10/06G06Q50/06
CPCG06Q10/0639G06Q50/06G06F18/23213
Inventor 夏拥王奇张晗宋云海崔曼帝苏浩辉张厚荣尚佳宁郑文坚李妍红
Owner EXAMING & EXPERIMENTAL CENT OF ULTRAHIGH VOLTAGE POWER TRANSMISSION COMPANY CHINA SOUTHEN POWER GRID
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