@article{scholars3756,
            note = {cited By 0; Conference of 2012 International Conference on Advanced Materials Engineering and Technology, ICAMET 2012 ; Conference Date: 28 November 2012 Through 30 November 2012; Conference Code:95061},
          volume = {626},
             doi = {10.4028/www.scientific.net/AMR.626.807},
         address = {Penang},
           title = {Characteristics of corrosion degradation in carbon steel pipelines},
            year = {2013},
         journal = {Advanced Materials Research},
           pages = {807--812},
            isbn = {9783037855713},
          author = {Mustaffa, Z.},
            issn = {10226680},
        abstract = {This paper presents a probabilistic methodology in evaluating corrosion defect characteristics of carbon steels offshore pipelines. A nonlinear multivariate regression model was selected to describe the correlation among corrosion defect parameters while the least-squares method was used to minimize its residuals. The proposed framework were able to provide better insights on the degree of correlations among corrosion defect parameters, which eventually proven that the interactions among defects are indeed significant. {\^A}{\copyright} (2013) Trans Tech Publications, Switzerland.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872541832&doi=10.4028\%2fwww.scientific.net\%2fAMR.626.807&partnerID=40&md5=97eafa3acf227115a359a86a9f7e7977},
        keywords = {Carbon steel pipelines; Corrosion characteristics; Corrosion defect; Corrosion degradation; Degree of correlations; Least squares methods; Multivariate regression models; Probabilistic methodology, Carbon steel; Corrosion rate; Pipelines, Regression analysis}
}