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Keywords = elbow damage identification

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15 pages, 6194 KB  
Article
Elbow Damage Identification Technique Based on Sparse Inversion Image Reconstruction
by Yu Wang and Xueyi Li
Materials 2020, 13(7), 1786; https://doi.org/10.3390/ma13071786 - 10 Apr 2020
Cited by 4 | Viewed by 3605
Abstract
Continuous monitoring for defects in oil and gas pipelines is important for leakage prevention. This paper proposes a new kind of pipe elbow damage identification technique, which consists of three processes. First, piezoelectric sensors evenly arranged along the circumference of the pipeline in [...] Read more.
Continuous monitoring for defects in oil and gas pipelines is important for leakage prevention. This paper proposes a new kind of pipe elbow damage identification technique, which consists of three processes. First, piezoelectric sensors evenly arranged along the circumference of the pipeline in the turn generated ultrasonic guided wave signals in the elbow. Then, the wavefront flight time at each grid node in the known sound field were computed using the fast-marching algorithm. Finally, an elbow wall thickness map reconstruction technique based on the sparse inversion method was proposed to identify elbow defects. Compared with the traditional elbow defect identification technology, this technology can not only detect the existence of the defect but also accurately locate the defect position. Full article
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