Fault single influence factor analysis method based on power cable fault information

A technology of influencing factors and fault information, applied in data processing applications, instruments, calculations, etc., can solve problems such as large data volumes and complex calculations, and achieve the effect of improving reliability

Inactive Publication Date: 2016-01-20
STATE GRID CORP OF CHINA +3
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method is suitable for dynamic history analysis, but

Method used

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  • Fault single influence factor analysis method based on power cable fault information
  • Fault single influence factor analysis method based on power cable fault information
  • Fault single influence factor analysis method based on power cable fault information

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0087] The cable fault data of the present embodiment is the 10kV cable fault data provided by a certain power supply bureau, selects cable body manufacturer, cable accessories manufacturer, construction unit and cable length as influencing factors, adopts the method of the present invention to analyze respectively these four types of influencing factors on The degree of impact of cable faults.

[0088] (1) Sample size estimation.

[0089] According to the principle of data preprocessing, the cable fault data is processed to obtain sample data, see Table 1.

[0090] Table 1 sample data

[0091]

[0092]

[0093] In Table 1, the cable length ranges corresponding to the influencing elements L1 and L2 are 0-5km and 5-10km respectively.

[0094] If the influencing factor to be analyzed is "cable body manufacturer", estimate the sample size for each specific cable body manufacturer in turn.

[0095] Take the cable body manufacturer M1 as an example to illustrate:

[0096]...

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Abstract

The invention discloses a fault single influence factor analysis method based on power cable fault information, which mainly comprises two steps of sample size estimation and single influence factor analysis based on a Cox proportional hazard model. Firstly, cable fault data is preprocessed on the basis of a data preprocessing principle to obtain sample data, and sample size is estimated based on the sample data, so as to guarantee the applicability of the sample data. Then, the Cox proportional hazard model is used for carrying out single influence factor analysis on influence factors of cable faults. The fault single influence factor analysis method based on power cable fault information can determine the influence factors of cable faults and influence degree of each influence factor according to cable fault data, so as to guide procurement, construction and maintenance of the cable, and improve the reliability of cable lines as well as operational reliability and stability of a power grid.

Description

technical field [0001] The invention belongs to the technical field of power equipment operation and maintenance management, and in particular relates to a fault ticket influencing factor analysis method based on power cable fault information. Background technique [0002] So far, there are few domestic and foreign studies on the analysis and research on the factors affecting power cable faults. The main methods that can be considered are as follows. [0003] (1) Principal component analysis. [0004] Principal component analysis is an important statistical method to study how to convert multi-index problems into fewer comprehensive indicators. It can transform high-dimensional space problems into low-dimensional space for processing, making the problem simpler and more intuitive. Moreover, these few comprehensive indicators are not correlated with each other, and can provide most of the information of the original indicators. However, before conducting principal component...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/06
Inventor 杨斌王宣姜伟周承科付光攀韩钦徐振秦小安周亮周文俊王航喻剑辉
Owner STATE GRID CORP OF CHINA
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