An effective defect identification scheme in pipeline ultrasonic testing |
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Authors: | Shoupeng Song Peiwen Que |
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Affiliation: | (1) School of Mechanical Engineering, Jiangsu University, Zhenjiang, 212013, China;(2) Institute of Automatic Detection, Shanghai Jiaotong University, Shanghai, 200030, China |
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Abstract: | The identification of a defect from its pulse-echo ultrasonic signal is a difficult task but greatly significant for defect
evaluation in pipeline ultrasonic testing. In this work, an effective defect identification scheme, which uses the deconvolution
technique, is developed to identify the ultrasonic signals from simulated defects with two different shapes (a notch and a
transverse cylindrical cavity) on a pipeline specimen. A DSF (Defect Similarity Function) defined as a deconvolution of a
target signal by a reference signal is used to classify the defects. Experimental results indicate that the DSFs for the same
type of defect-reference signals are narrow impulselike patterns with larger amplitudes, while those for the different types
of defect-reference signals are broad impulselike patterns with relatively smaller amplitudes. Furthermore, the DSF is sensitive
to defect shapes but non-sensitive to the measuring distance and defect size. Therefore, the defects can be identified from
the pattern of the DSF. The proposed technique shows great potential for the identification of defects via ultrasonic signals
in the pipeline inspection.
This text was submitted by the authors in English. |
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