Method and device for nondestructive testing of steel wire rope

Abstract

The invention provides a method and device for non-destructive testing of steel wire ropes. The method includes: acquiring a magnetic flux signal of the tested steel wire rope through a magnetic flux detection sensor, and obtaining a magnetic flux leakage signal of the tested steel wire rope through a magnetic field strength detection sensor; The magnetic signal is preprocessed, the magnetic flux characteristic value is obtained according to the preprocessed magnetic flux signal, and the magnetic leakage characteristic value is obtained according to the preprocessed magnetic flux leakage signal; the defect of the tested wire rope is obtained according to the magnetic flux characteristic value and the magnetic leakage characteristic value. Width; compare the defect width of the tested wire rope with the preset width threshold; if the defect width is greater than or equal to the preset width threshold, the cross-sectional loss of the tested wire rope is obtained according to the magnetic flux characteristic value; if the defect width is less than or equal to the preset width threshold If the preset width threshold is used, the cross-sectional loss of the tested wire rope can be obtained according to the magnetic flux characteristic value and the magnetic flux leakage characteristic value. The invention can identify all types of defects of the tested steel wire rope, and has high quantification accuracy of section loss.

Description

technical field [0001] The invention belongs to the technical field of wire rope detection, and in particular relates to a method and device for nondestructive detection of wire ropes by detecting magnetic flux and leakage magnetic field. Background technique [0002] Steel wire ropes are widely used in industrial, civil, military and other fields. With the use of time, various damages to the steel wire rope are inevitable, which will significantly reduce the strength, toughness, plasticity and other mechanical properties of the material, and seriously affect its safe use, so regular inspections are required. Among them, the loss of section loss of wire rope defects directly affects the quality of wire rope, so the quantitative detection of section loss of wire rope defects is the most important. [0003] Electromagnetic detection method is the most commonly used and effective method, which includes two conditions of saturation excitation and non-saturation excitation. Amo...

AI Technical Summary

Problems solved by technology

However, for defects with a large axial width, the information of the defects cannot be accurately identified, and the amount of cross-section loss cannot be quantitatively detected, so complex calculation methods such as neural networks are needed for quantitative analysis.

This method can only identify surface defects, not internal defects

This method needs to do a lot of standard defects to train a specific artificial neural network for classification and recognition. If you change the type of wire rope, you need to retrain the artificial neural network

[0005] Therefore, the current electromagnetic detection method cannot quantitatively detect the section loss of all defects in the steel wire rope, and the detection accuracy is very low and the calculation is complicated

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