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Defect distinguish based on three-dimensional finite element NN and quantified appraisal method

A neural network and quantitative evaluation technology, applied in the field of non-destructive testing, can solve problems such as slow speed and large amount of calculation, and achieve the effects of fast speed, high calculation accuracy and broad application prospects.

Inactive Publication Date: 2007-05-16
TSINGHUA UNIV
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Problems solved by technology

Its essence is to embed the three-dimensional finite element calculation model into the neural network structure, and integrate the advantages of finite element and neural network to solve the problem of large amount of calculation and slow speed in solving nonlinear problems in electromagnetic nondestructive evaluation.

Method used

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  • Defect distinguish based on three-dimensional finite element NN and quantified appraisal method
  • Defect distinguish based on three-dimensional finite element NN and quantified appraisal method
  • Defect distinguish based on three-dimensional finite element NN and quantified appraisal method

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Embodiment Construction

[0015] The defect identification and quantitative evaluation method based on the 3D finite element neural network mainly includes the following three basic steps: 1) Construct a 3D finite element neural network according to the 3D finite element calculation model of the defect leakage magnetic field; 2) Measure and extract the defect leakage magnetic field eigenvalue, set the threshold condition of the error between the measured value and the calculated value of the defect leakage magnetic field; 3) given the initial estimated value of the defect characteristic parameter, use the three-dimensional finite element neural network to perform iterative calculation, and compare the calculated value of the measured leakage magnetic field The error between the defect and the eigenvalue is used to realize the identification and quantitative evaluation of the geometric feature of the defect.

[0016] Below in conjunction with accompanying drawing, above-mentioned each step is described f...

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Abstract

This invention relates to deficiency identification and quantification based on three dimensional limit element neutral network, which comprises the following steps: a, according to deficiency leakage magnetic field three dimensional element computation module forming three dimensional element neutral network; b, measuring and extracting deficiency magnetic field characteristics value and setting measurement values and computing error valve conditions; c, given deficiency characteristics parameters initial values by use of three dimensional limit element neutral network for overlap computation to realize deficiency identification and evaluation through comparing deficiency computation values and error size.

Description

technical field [0001] The invention relates to a defect identification and quantitative evaluation method based on a three-dimensional finite element neural network, which is used for feature identification and quantitative evaluation of defect magnetic flux leakage detection signals, and belongs to the technical field of non-destructive testing. Background technique [0002] Magnetic flux leakage testing is a more commonly used non-destructive testing method, and it is widely used in the quality testing and safety monitoring of ferromagnetic materials. However, the reasonable interpretation of magnetic flux leakage testing signals to realize feature identification and quantitative evaluation of defects has always been a non-destructive testing research field. a technical problem. Chinese patent literature discloses a "analysis method for magnetic flux leakage detection data of pipeline defects" (publication number: 1458442, publication date: 2003.11.26), which involves a m...

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Application Information

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IPC IPC(8): G01N27/82G01M3/00F17D5/00G01R33/00G06N3/02
Inventor 黄松岭赵伟宋小春崔伟
Owner TSINGHUA UNIV
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