1 |
S. Li, H. Zeng, S. Yu, X. Zhai, S. Chen, R. Liang, and L. Yu, "A method of probabilistic analysis for steel pipeline with correlated corrosion defects," Corrosion Science, vol. 51, pp. 3050-3056, 2009.
DOI
|
2 |
D. S. Cronin and R. J. Pick, "Prediction of the failure pressure for complex corrosion defects," International Journal of Pressure Vessels and Piping, vol. 79, pp. 279-287, 2002.
DOI
|
3 |
S. Zhang and W. Zhou, "Bayesian dynamic linear model for growth of corrosion defects on energy pipelines," Reliability Engineering and System Safety, vol. 128, pp. 24-31, 2014.
DOI
|
4 |
Dae-Seung Hong and Hwa-Young Yim, "A study on the improvement of fault detection capability for fault indicator using fuzzy clustering and neural network, Journal of Korean Institute of Intelligent Systems, vol. 17, no. 3, pp. 374-379, 2007.
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DOI
|
5 |
F. Caleyo, J. L. Conzalez, and J. Hallen, "A study on the reliability methodology for pipelines with active corrosion defects," International Journal of Pressure Vessels and Piping, vol. 79, pp. 77-86, 2002.
DOI
ScienceOn
|
6 |
A.P. Teixeira, C. Guedes Soares,, T.A. Netto, S.F. Estefen, "Reliability of pipelines with corrosion defects," International Journal of Pressure Vessels and Piping, vol. 85, pp. 228-237, 2008.
DOI
ScienceOn
|
7 |
C. J. Maier, P. J. Moreno, W. V. Harper, D. J. Stucki, S. J. Polasik, T. A. Bubenik, D. A. R. Shanks, and N. A. Bates, "Application and validation of statistically based corrosion growth rates," Proceedings of the 2012 9the International Pipeline Conference, IPC2012-90424, 2012.
|
8 |
ISO 16708, Petroleum and natural gas industries, pipeline transportation systems, reliability-based limit state methods, International Standards, 2006.
|
9 |
Sung-Suk Kim, Sung-Soo Kim, and Jeong-Woong Ryu, "Improved fuzzy clustering," Journal of Korean Institute of Intelligent Systems, vol. 15, no. 1, pp. 6-11, 2005.
DOI
|