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Method for evaluating oil paper insulation micro-water content by utilizing backward elimination multiple regression analysis

A technology of multiple regression analysis and multiple regression equations, which is applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problems of one-sidedness and inaccuracy of evaluation results, and achieve the effect of objective diagnosis results

Inactive Publication Date: 2019-12-10
FUZHOU UNIV
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Problems solved by technology

[0002] At present, the method of FDS to evaluate the micro-moisture content of oil-paper insulation is mainly to obtain the frequency-domain dielectric spectrum curve of the oil-paper insulation sample, and then extract the characteristic parameters according to the curve, and establish the correlation between the characteristic parameters and the micro-moisture content to evaluate. In the previous research Among them, there are many types of characteristic parameters established and it is easy to cause one-sidedness and inaccuracy in the evaluation results in the evaluation of a single characteristic parameter. Therefore, it is necessary to further study the influence degree of each single characteristic parameter on the micro-moisture content and the micro-moisture content and multiple characteristics. For this reason, the mathematical method of applying statistical backward selection multiple regression analysis is introduced into the evaluation of the moisture content of oil-paper insulation, so as to improve the accuracy and reliability of the evaluation results of the moisture content of oil-paper insulation

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  • Method for evaluating oil paper insulation micro-water content by utilizing backward elimination multiple regression analysis
  • Method for evaluating oil paper insulation micro-water content by utilizing backward elimination multiple regression analysis
  • Method for evaluating oil paper insulation micro-water content by utilizing backward elimination multiple regression analysis

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[0049] The technical solution of the present invention will be specifically described below in conjunction with the accompanying drawings.

[0050] The present invention provides a method for evaluating the micro-moisture content of oil-paper insulation by using backward selection multiple regression analysis, comprising the following steps:

[0051] Step S1, extraction of micro-water content frequency-domain characteristic parameters;

[0052]Step S11. Prepare five groups of oil-paper insulation test samples with different micro-moisture content and use DIRANA dielectric response analyzer to test the oil-paper insulation to obtain the frequency-domain correlation of the dielectric loss factor tanδ, the real part C' and the imaginary part C" of the complex capacitance. Spectrum curve;

[0053] Step S12, according to tan δ, C' and C " three values ​​to the variation of micro-water content in 10 -3 ~10 -1 Hz frequency band shows a very sensitive phenomenon, choose 10 -3 、10 ...

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Abstract

The invention relates to a method for evaluating the oil paper insulation micro-water content by utilizing backward elimination multiple regression analysis. The method comprises the following steps:firstly, preparing five groups of oiled paper insulation samples with different micro-water contents, and extracting nine frequency domain characteristic parameters capable of representing the micro-water contents of oiled paper insulation; then establishing a test model of the oil paper insulation micro-water content and multivariate characteristic parameters at different characteristic frequencies by utilizing a backward elimination multivariate parameter regression manner; and finally, verifying the accuracy and credibility of the test model through an example. According to the method, theminimum characteristic parameters are used for evaluating the oil-paper insulation micro-water content to the maximum extent, and therefore, the method for evaluating the oil paper insulation micro-water content by utilizing backward elimination multiple regression analysis is provided.

Description

technical field [0001] The invention relates to a method for evaluating the micro-moisture content of oil-paper insulation by using backward selection multiple regression analysis. Background technique [0002] At present, the method of FDS to evaluate the micro-moisture content of oil-paper insulation is mainly to obtain the frequency-domain dielectric spectrum curve of the oil-paper insulation sample, and then extract the characteristic parameters according to the curve, and establish the correlation between the characteristic parameters and the micro-moisture content to evaluate. In the previous research Among them, there are many types of characteristic parameters established and it is easy to cause one-sidedness and inaccuracy in the evaluation results in the evaluation of a single characteristic parameter. Therefore, it is necessary to further study the influence degree of each single characteristic parameter on the micro-moisture content and the micro-moisture content ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/12G01N27/02G06F17/18G06F17/50
CPCG01N27/02G01R31/1263G06F17/18
Inventor 邹阳林超群叶荣何倩玲何津
Owner FUZHOU UNIV
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