期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2015
卷号：7
期号：3
页码：53
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this work we have developed a decision support system that can determine corrosion and project thetime for corrosion growth maintenance using probabilistic modelling approach. Historical data of theatmospheric industrial environment conditions for five years on three metals- zinc, iron and steel withknown thicknesses were used. The environmental conditions included precipitation, wind speed, sulphurdioxide, relative humidity and temperature. For the five-year period, the percentiles of corrosion in theenvironment were determined to be from 63.1% to 69%. The corrosion rates of Zinc, iron and steel were0.92µm/year,0.9µm/year and 0.51µm/year respectively. At the end of the first year the expected time toinitiate corrosion growth maintenance actions for zinc, iron and steel were 9 years, 10 years and 14 yearsin that order. The probable contributions of each of the environmental factors to the corrosiveness of theenvironment were determined.
关键词：Data Mining;Corrosion;Corrosion Control; Decision Support System; Probabilistic Modelling;Environmental Factors.
