Pipeline bore damage state diagnosis method

Abstract

The invention relates to the field of pipeline nondestructive testing, in particular to a pipeline bore damage state diagnosis method. An ultrasonic electromagnetic ultrasonic excitation end sends a signal to the inner bore of a detected pipeline, and an ultrasonic electromagnetic ultrasonic receiving end obtains a reflection signal. A waveform database is established, wherein the waveform database comprises a non-damage waveform and a damage waveform of the pipeline. The waveform corresponding to the reflection signal is compared with the waveform in the waveform database, and if the waveformcorresponding to the reflection signal is matched with the damage waveform, determining that the detected pipeline is an inner bore damaged pipeline. The damage location is obtained by time and speedof signal propagation, and the damage size of the inner bore damage pipeline is obtained according to the amplitude of the damage reflection signal. The diagnosis method is suitable for defect detection and recognition of complex structures of the inner walls of various thick-wall pipelines, internal defects and damage positions of the thick-wall pipelines are detected, the hidden defects of thethick-wall pipelines can be detected in time so as to facilitate maintenance and guarantee, and the system operation and maintenance cost can be effectively reduced.

Description

technical field [0001] The invention relates to the field of non-destructive detection of pipelines, in particular to a method for diagnosing the damaged state of the inner bore of a pipeline. Background technique [0002] Thick-walled pipes are often used in military equipment and other process industries. During use, the inner wall of the pipe is subjected to thermal shock stress and mechanical friction caused by high-temperature (2500°C-3200°C) and high-pressure (140MPa-700MPa) gas. It is very easy to cause damages such as cracks, wear, fracture, ablation and coating peeling off of thick-walled pipes. After long-term use, there will be more micro-damages on the inner wall, and it is difficult to predict the remaining service life, which has become a major hidden danger affecting the safe operation of components. [0003] Existing detection methods for thick-walled pipelines cannot detect internal defects of thick-walled pipelines, nor can they quantitatively detect the d...

AI Technical Summary

Problems solved by technology

After long-term use, there will be more micro-damages on the inner wall, and it is difficult to predict the remaining service life, which has become a major hidden danger affecting the safe operation of components

[0003] Existing detection methods for thick-walled pipelines cannot detect the internal defects of thick-walled pipelines, nor can they quantitatively detect the damage size of thick-walled pipelines, which can no longer meet the development trend of equipment support technology

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