Evaluation of defect width of curve fluctuation area

The area of ​​the signal waveform Sa waveform area refers to the area of ​​the fluctuating part of the curve in a wave, where the magnetic flux leakage signal of a single defect consists of a peak and a valley, which reflects the short-term first-order central moment of the signal, the peak of the first differential signal After the valley length DXP-P magnetic flux leakage signal is differentiated once, it can increase the high-frequency part, and at the same time reflect the rate of change of the magnetic flux leakage field. From the pipeline leakage magnetic field magnetization method and the generation mechanism, it can be known that the leakage magnetic field mutation at the boundary of the defect Therefore, it is very effective to use this feature to measure the length of defects; at the same time, for small defects that are not easy to distinguish from the background, the amplitude of the magnetic flux leakage signal before differentiation is small, which is basically submerged in the dynamic change of the signal, and the signal characteristics after differentiation Obviously, high frequency components and peak-to-peak values ​​are added.

The analysis of the side-view waveform determines the evaluation of the width of the defect. In addition to the characteristics of the axial waveform, the calculation of the characteristic quantity also needs to add some parameters. This is mainly because the magnetization of the defect is along the axial direction of the pipe, and the waveform in the circumferential direction is The spatial distribution of the axial leakage magnetic field component of a circumferential cross section of the space leakage magnetic field is formed. Therefore, it is necessary to evaluate the width according to the number of sensors covered by the circumferential distribution of the leakage magnetic field. This requires effectively intercepting the size of the leakage magnetic field to determine the number of covered sensors. Therefore, the maximum amplitude in the circumferential coverage signal is taken, and the threshold G is set to determine the number of circumferential coverage sensors above the threshold, which is recorded as WN.

In short, so far, the qualitative analysis of magnetic flux leakage detection of domestic pipeline corrosion defects is relatively mature, and the accuracy of quantitative detection has been low. In this paper, through a large number of experiments, the characteristic quantity of the leakage magnetic field is effectively extracted, and the multi-dimensional statistical analysis method is used to achieve the purpose of quantitative detection of defects and meet the current needs.

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