Train wheel ultrasonic flaw detection method and system

Abstract

The invention discloses a train wheel ultrasonic flaw detection method and system. The method comprises the following steps: acquiring a first image formed by an ultrasonic B-scan image of a train wheel; eliminating step echo lines and spoke plate hole echo lines in the first image to generate a second image and a step echo sound path corresponding to the step echo lines; performing binarization processing on the second image, and extracting a first connected domain set meeting condition flaw detection; and carrying out spatial distribution divergence discrimination on the first connected domain set and generating a second connected domain set used for representing the defect part. According to the invention, after the ultrasonic B-scan image is converted into a binary black-and-white image, interference echoes generated by foreign matters attached to the outer surface of a rim spoke transition region of the train wheel are identified and eliminated by calculating the spatial distribution dispersion of a black connected domain, so that the problem of false alarm of a train wheel ultrasonic flaw detection system due to foreign matters attached to the outer surface of the transitionarea is avoided, and the problem that a traditional train wheel ultrasonic flaw detection method is low in detection result reliability is solved.

Description

technical field [0001] The invention relates to the technical field of rail vehicle detection, in particular to an ultrasonic judgment method and system for train wheels. Background technique [0002] Train wheels are prone to fatigue cracks under long-term load operation. In order to ensure the safety of high-speed train operation, ultrasonic automatic flaw detection technology must be used to detect train wheel defects. For example, the mobile rim and spoke flaw detection system currently used in train maintenance in China uses advanced phased array ultrasonic flaw detection technology and conventional flaw detection technology to conduct online rim and spoke flaw detection on various types of EMU wheels to realize various types of fatigue defects and The detection of material defects, but the location of the defects in the detection results is only a single gate damage judgment based on the echo amplitude, which still requires on-site operators to manually judge and frame...

AI Technical Summary

Problems solved by technology

[0006] In view of this, the present invention provides a method and system for ultrasonic diagnosis of train wheels. By improving the image processing method of ultrasonic images, the problem of low reliability of detection results in the existing methods of ultrasonic diagnosis of train wheels is solved.

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