An Experimental Model for Guided Microwave Backscattering from Wet Insulation in Pipelines
Author:
Publisher
Springer Science and Business Media LLC
Subject
Mechanical Engineering,Mechanics of Materials
Link
http://link.springer.com/content/pdf/10.1007/s10921-014-0254-8.pdf
Reference24 articles.
1. Ifezue, D., Tobins, F., Nettikaden, V.: CUI failure of a hot oil line due to intermittent operations. J. Fail. Anal. Prev. 14(1), 13–16 (2014)
2. Edalati, K., Rastkhah, N., Kermani, A., Seiedi, M., Movafeghi, A.: The use of radiography for thickness measurement and corrosion monitoring in pipes. Int. J. Pres. Ves. Pip. 83(10), 736–741 (2006)
3. Cheng, W.: Pulsed eddy current testing of carbon steel pipes wall-thinning through insulation and cladding. J. Nondestruct. Eval. 31(3), 215–224 (2012)
4. Winnik, S.: Corrosion Under Insulation ( CUI) Guidelines. Elsevier, New York (2008)
5. Alleyne, D.N., Pavlakovic, B., Lowe, M.J.S., Cawley, P.: Rapid, long range inspection of chemical plant pipework using guided waves. Insight 43, 93–96, 101 (2001)
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