Steel rail defect section included angle detection method based on magnetic flux leakage detection and neural network

Abstract

The invention discloses a steel rail defect section included angle detection method based on magnetic flux leakage detection and a neural network; firstly, a magnetic flux leakage detection device isplaced on a steel rail to be detected, and flux leakage signals of the steel rail to be detected in the X direction and the Y direction are measured, and then band-pass filtering and amplification processing are carried out to obtain a signal time domain distribution diagram in the X direction, and a signal time domain distribution diagram in the Y direction; then, the signal peak value characteristic values and signal distance characteristic values in the X direction and the Y direction are extracted to be input into a neural network tool box with a lift-off value to obtain defect coefficients in the X direction and the Y direction; and finally, the defect section included angles in the X direction and the Y direction are obtained. According to the method, the defect signals with different included angle included angles can be quantitatively analyzed on the basis that only the magnetic flux leakage signals can be detected, so that the damage severity situation can be judged more accurately.

Description

technical field [0001] The invention relates to the field of measurement technology and instruments, in particular to a method for detecting the included angle of a rail defect cut surface based on magnetic flux leakage detection and a neural network. Background technique [0002] At present, non-destructive magnetic flux leakage testing has become one of the main methods to detect the angle of the rail defect section. The basic principle of magnetic flux leakage detection in non-destructive testing refers to that after the ferromagnetic material is partially magnetized, if the material has cracks or pits in the local magnetized area, the magnetic field distribution at the damage will change suddenly, and some magnetic fields will It will leak out to form a leakage magnetic field. By detecting the change of the magnetic field in this part of the ferromagnetic material, it can be judged whether there is damage in this part of the material. [0003] The leakage magnetic field...

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Problems solved by technology

The measurement of the included angle of the defect section is also crucial to the evaluation of the damage of the tested workpiece, and the different included angles of the defect section may affect the grinding and replacement of the workpiece

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