Detection Devices and Technologies on Large-Scale Pipe Weld Surface Defect

Qi Liu; Yu Lan Wei; Bing Li; Meng Dan Jin; Ying Ying Fan

doi:10.4028/www.scientific.net/AMR.580.445

Paper Titles

Evolution of Pressure on Bearing's Surface in Dislocated Single Floating Ring Bearing
p.428

Construct 2D Stable and Unstable Manifolds of Nonlinear Maps
p.432

Dynamic Characteristics of Centrifugal Fan Impeller Based on Fluid-Solid Coupling
p.437

Experimental Research and Simulation in a Thermosyphon
p.441

Detection Devices and Technologies on Large-Scale Pipe Weld Surface Defect
p.445

Study on Photoelectric Performance of Organic Light Emitting Device
p.449

Study on the Morphology and Mechanical Properties of Yak Fiber
p.455

Fundamental Electronic Properties and Elastic Properties of Lanthanum Hexaboride: A Computer Aided Design
p.461

Influence of Carbon Content on Corrosion Resistance Performance of Weathering Steel
p.465

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 580Detection Devices and Technologies on Large-Scale...

Detection Devices and Technologies on Large-Scale Pipe Weld Surface Defect

Abstract:

The kind and extent of defect can be identified through image processing. First, the weld defect detection device should be constructed, and then the defect imaged should be obtained through rational way, in order to enhance the image quality, image filter and image enhancement method should be use. To ensure the real-time system, the weld region need to segment from the image. After that, the needed defect features need to determine and extract. Finally, the kind, the location and the size of the defect can be defined.

You might also be interested in these eBooks

Mechanical Properties and Structural Materials

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 580)

Pages:

445-448

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.580.445

Citation:

Cite this paper

Online since:

October 2012

Authors:

Qi Liu, Yu Lan Wei, Bing Li, Meng Dan Jin, Ying Ying Fan

Keywords:

Defect Detection, Pattern Recognition, Pipeline, Weld

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] S. H. Bush: Journal of Pressure Vessel Technology, Vol. 7 (1998), p.110.

Google Scholar

[2] X. Y. Tang, Y. Zhang and J.Y. Li, et al: Journal of Kunming University of Science and Technology (Science and Technology), Vol. 29(2004), p.36.

Google Scholar

[3] L. Gao, and Q. G. Song: Transportation Science & Technology, Vol. 226(2007), p.105.

Google Scholar

[4] Y. Sun, P. Bai and H. Y. Sun, et al: NDT & E International, Vol. 38(2005), p.522.

Google Scholar

[5] S. Y. Gao, R. M. Wu and W. D. Chen, et al: World Iron & Steel, Vol. 3 (2010), p.51.

Google Scholar

[6] R. A. White, J. S. Smith and J. Lucas: Measurement and Technology, Vol. 141(1994), p.521.

Google Scholar

[7] C. Reichert: The International Society for Optical Engineering, San Antonio, TX., 1998, 244.

Google Scholar

[8] J. Lee and P. Im: Society of Photo-Optical Instrumentation Engineers, Boston. MA, 2001, 41.

Google Scholar