FIELD: testing.
SUBSTANCE: invention relates to the field of non-destructive testing of cylindrical objects, namely to apparatuses and methods for diagnostics of main pipelines, gas pipelines for the purpose of detecting surface defects thereon. In implementation of the method, eddy current and ultrasonic monitoring systems are first configured on standard samples simulating cracks and sores potentially occurring on the examined surface. After configuration, the elongated cylindrical object is subjected to non-destructive testing with simultaneous operation of eddy current, ultrasonic sensors, and a television camera. The areas identified as areas with the presence of sores and with the presence of stress corrosion cracking are combined by means of known clustering algorithms. The length and width of the detected defects are determined by comparing the data of the conducted non-destructive testing with the data from the encoder and accelerometer installed on the apparatus conducting automated non-destructive testing. The automated complex for non-destructive testing implementing the claimed method includes a scanning head, installed whereon are ultrasonic and eddy current monitoring sensors, as well as a television monitoring system, a movement mechanism consisting of driven and driving wheels, electric engines, power sources, as well as a diameter adjuster of the automated complex. The driving wheels are therein equipped with path sensors. The system includes a television camera located on the scanning head between the line of ultrasonic monitoring sensors and the line of eddy current sensors, wherein the television camera is installed at a height, relative to the surface of the examined cylindrical object, whereat the diameter of the viewing zone thereof is greater than and equal to the width of the row of eddy current monitoring sensors. The eddy current and ultrasonic monitoring sensors are arranged in a staggered pattern.
EFFECT: increase in the speed of diagnostics of pipelines, as well as increase in the reliability of automated defect control.
4 cl, 5 dwg
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Authors
Dates
2022-01-18—Published
2020-11-19—Filed