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Hall sensor array based steel ropes nondestructive examination method and device

A hall sensor and non-destructive testing technology, applied in the direction of magnetic sensor array, material magnetic variable, etc., can solve the problems of quantitative identification of unfavorable defects, the circumferential distribution of defects that cannot be identified, etc., and achieve the effect of improving accuracy

Inactive Publication Date: 2007-03-14
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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Problems solved by technology

[0004] The above products either output comprehensive magnetic flux leakage signals in the circumferential direction of the steel wire rope, which cannot identify the circumferential distribution of defects, or use multiple sensors to output one-dimensional signals separately, which can reflect the circumferential distribution of defects, but do not combine axial and circumferential magnetic flux leakage. The information is synthesized into a two-dimensional signal for overall processing, which is not conducive to the quantitative identification of local defects

Method used

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  • Hall sensor array based steel ropes nondestructive examination method and device
  • Hall sensor array based steel ropes nondestructive examination method and device
  • Hall sensor array based steel ropes nondestructive examination method and device

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Embodiment Construction

[0031] Fig. 5 is a schematic flowchart of an embodiment of the non-destructive testing method for steel wire ropes based on Hall sensor arrays in the present invention.

[0032] The detection method comprises the following steps:

[0033] 1. Make a standard sample of typical defects at the end of the steel wire rope under test without defects, use the permanent magnet excitation mechanism 1 to excite the steel wire rope in the axial direction, and use the Hall sensor array 2 densely distributed on the surface of the steel wire rope to capture the diameter of each typical defect. MFL data;

[0034] 2. In the PC, by adjusting the notch frequency of the notch filter to make it track the spatial frequency of the strand wave of the wire rope, the original data is filtered by the filter;

[0035] 3. The filtered signal is subjected to size normalization and amplitude normalization processing, wherein the size normalization divides the collected two-dimensional signal into matrices ...

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Abstract

The wire rope detection method based on 3D leakage magnetic field comprises: acquiring the defect sample magnetic leakage signal by Hall sensor array; eliminating trough by an adaptive space trapping filter; taking normalization and K-L transformation to extract feature and train NN, and detecting the real defect by the network. The corresponding detection device comprises: a sensor probe included a permanent magnet excitation part and an analog switch and a photoelectric encoder, a data acquirement processor, and a computer. This invention can provide full defect signal and improve detection precision.

Description

Technical field [0001] The invention relates to a steel wire rope detection method based on a three-dimensional leakage magnetic field, in particular to a multi-dimensional signal detection method based on a Hall sensor array and a detection device for realizing the method. Background technique [0002] Steel wire ropes are widely used in many industries such as mining, metallurgy, shipping, tourism, and construction. However, accidents caused by damage to steel wire ropes during use endanger personal and equipment safety. Therefore, real-time monitoring of wire rope damage and its load capacity has very important social and economic benefits. . [0003] At present, the most mature technology and the most widely used wire rope flaw detection method is the electromagnetic method. The quantitative detection of the cross-section loss by the main magnetic flux method has basically been realized. The summation of magnetic flux leakage signals on the circumference, and the detect...

Claims

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Application Information

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IPC IPC(8): G01N27/82
CPCG01R33/0094
Inventor 张东来曹印妮
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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