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A Pipeline Defect Identification Method Based on Intrinsic Time Scale Decomposition of Inhibition End

An inherent time scale and defect identification technology, applied in the field of information detection, can solve problems such as easy-to-produce end-point effects, and achieve the effect of eliminating end-point effects and obvious effects

Active Publication Date: 2021-06-25
BEIJING UNIV OF TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to use symmetric continuation to process the extremum sequence for the problem that the intrinsic time scale decomposition is easy to produce the endpoint effect, and the processed extremum sequence adopts the intrinsic time scale decomposition to obtain the intrinsic rotation component

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  • A Pipeline Defect Identification Method Based on Intrinsic Time Scale Decomposition of Inhibition End
  • A Pipeline Defect Identification Method Based on Intrinsic Time Scale Decomposition of Inhibition End
  • A Pipeline Defect Identification Method Based on Intrinsic Time Scale Decomposition of Inhibition End

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Embodiment Construction

[0070] The pipeline defect identification method based on the inherent time scale decomposition of the suppression end of the present invention, such as figure 1 As shown, its main steps include:

[0071] Step 1: Use the fluxgate probe to collect the magnetic signal x(t) of the pipeline. According to the actual signal x((t), select the number of decomposition layers of the inherent time scale decomposition of the suppression end, and iterate to terminate the error.

[0072] Step 2: Extract the number of extreme points, coordinates of extreme points, coordinates of maximum values ​​and coordinates of minimum values ​​in the signal x(t), and obtain a new sequence of extreme values ​​x 1 (t);

[0073] Step 3: For the extremum sequence x 1 The endpoints of (t) are subjected to symmetrical extension processing to obtain the upper and lower envelopes of the extreme values ​​of the signal, such as figure 2 as shown,

[0074] The process of left endpoint processing is as follows:...

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Abstract

The invention discloses a pipeline defect identification method based on end-end inherent time scale decomposition, which adopts symmetric continuation to process the extreme value sequence for the problem that the end-point effect is easily generated by the inherent time scale decomposition, and the processed extreme value sequence adopts the inherent time scale decomposition to get the intrinsic rotation component. Subtract the original signal from the inherent rotation component obtained by the endpoint continuation process to obtain a new extremum sequence, repeat the above steps to obtain a series of inherent rotation components and a monotonic trend item, and introduce the endpoint effect evaluation index θ to quantitatively analyze the endpoint effect. The degree judgment selects the inherent rotation component and the monotonic trend item of the recombined pipeline magnetic signal. Carry out envelope processing on the recombined magnetic signal and inherent rotation component, perform gradient processing on the envelope signal and obtain the pipeline deformation index, perform spectrum analysis on the recombined magnetic signal and inherent rotation component, and analyze the gradient anomaly signal and frequency spectrum Analyze the results to determine pipeline defects.

Description

technical field [0001] The invention belongs to information detection methods, in particular to a method for identifying defects of buried steel pipelines based on the decomposition of the inherent time scale of the suppression end. Background technique [0002] The environment in which buried steel pipelines are located is complex, and as an important infrastructure of the national economy and people's lives, once an accident occurs, the consequences will be serious. The defects of buried steel pipelines are not easy to observe directly, so magnetic detection, as a non-contact early detection technology for pipeline defects, is of great significance to prolong the service life of pipelines and ensure the smooth progress of industrial production. [0003] Magnetic field detection is a detection method that detects the spontaneous leakage magnetic field signal generated at the defect of the buried steel pipeline, extracts the defect characteristics from it, and then judges th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N27/83
CPCG01N27/83
Inventor 王新华齐立夫陈迎春张涛句海洋赵以振潘庆丰
Owner BEIJING UNIV OF TECH
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