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A dual-mode nondestructive testing method for dielectric functionally graded insulation

A functional gradient and non-destructive testing technology, applied in the direction of kernel method, character and pattern recognition, image analysis, etc., can solve problems such as differences in dielectric parameter recognition, difficult operation, difficult equivalence, etc., to solve nonlinear and pathological problems difficult problems, solving highly nonlinear effects, and improving the inversion speed

Active Publication Date: 2020-08-18
XI AN JIAOTONG UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, the above method is difficult to operate and cannot meet the requirements of non-destructive identification
It should be emphasized that when the spatial distribution of inhomogeneous media is more complex, destructive detection methods no longer meet the test requirements
[0004] The current non-destructive testing methods mainly include ultrasonic testing, ray testing, magnetic particle testing, acoustic emission testing, microwave non-destructive testing and other technologies. Among them, the object of ultrasonic testing is acoustic impedance, which is different from the identification of dielectric parameters, and ray testing is aimed at Objects with different densities cannot directly identify the dielectric parameters. Magnetic powder and acoustic emission technologies are not suitable for high-voltage equipment insulators composed of polymer composite materials represented by epoxy resin.
Although the microwave detection detects the dielectric parameters, the dielectric parameters in the microwave frequency band are quite different from those in the power frequency, and it is difficult to directly equivalent

Method used

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  • A dual-mode nondestructive testing method for dielectric functionally graded insulation
  • A dual-mode nondestructive testing method for dielectric functionally graded insulation
  • A dual-mode nondestructive testing method for dielectric functionally graded insulation

Examples

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Embodiment

[0063] see figure 2 , for the designed dielectrically graded insulator. The insulator is cylindrical, and its specific dimensions are as follows: figure 2 As shown, it is divided into 4 layers, and the relative permittivity of the insulator is distributed in a gradient according to the layer. The detection process includes the following steps:

[0064] Step 1 analyzes the insulator to obtain the 3D grayscale information of the insulator;

[0065] Using the gray-scale multi-threshold segmentation algorithm in step 2, the insulator can be divided into four layers, as shown in Table 1, and the shape distinction inside the material can be realized by dividing the gray value range.

[0066] Table 1 Grayscale multi-threshold segmentation results

[0067] layer number 1 2 3 4 Gray value range 0~64 64~128 128~192 192~256

[0068] Step 3. Input the obtained 4-layer geometric information into the finite element simulation software, and set the material a...

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Abstract

The invention discloses a dual-mode non-destructive testing method for dielectric functional gradient insulation. First, the boundaries of different density regions are obtained by segmenting the density changes at different positions inside the three-dimensional insulator, and then the geometric information is used as input, according to the measured boundary plate. The change of capacitance obtains training samples, which are trained after normalization; the functionally gradient insulator boundary capacitance matrix is ​​substituted into the trained model, and the value of the dielectric constant in the corresponding material partition inside the insulator is obtained to complete the non-destructive testing. The invention combines the advantages of high spatial resolution of ICT and direct dielectric inversion of ECT to realize the non-destructive testing requirements of dielectric functional gradient insulation with fixed shape and parameters, and solves the parameter inversion process while improving the inversion speed through machine learning algorithm nonlinear and ill-conditioned problems.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing of electric equipment, and in particular relates to a dual-mode non-destructive testing method of dielectric functional gradient insulation. Background technique [0002] In my country, flashover / breakdown faults of cast epoxy insulators in GIS occur frequently, and the problem is prominent. In recent years, the emerging "Functionally Graded Material" (Functionally Graded Material, FGM) can significantly improve the insulator flashover by adjusting the spatial distribution of dielectric parameters (relative permittivity ε and conductivity γ) to improve the uniformity of the electric field. Voltage. [0003] At present, the techniques for preparing d-FGM mainly include centrifugal method, lamination method and 3D printing. Due to the integrated molding characteristics of the manufacturing process, it is necessary to judge whether the dielectric parameter distribution inside the in...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/13G06K9/62G06N20/10
CPCG06T7/0004G06T7/12G06T7/13G06T2207/10116G06T2207/20081G06T2207/30108G06F18/2411
Inventor 张冠军王超王璧璇李文栋李晓冉刘哲
Owner XI AN JIAOTONG UNIV
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