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Estimating corrosion: a statistical approach

✍ Scribed by M. Hajeeh

Publisher
Elsevier Science
Year
2003
Weight
161 KB
Volume
24
Category
Article
ISSN
0261-3069

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✦ Synopsis

This study was an attempt to determine the corrosivity of seawater on pipes made of aluminum-brass and carbon steel by conducting experiments using a 2 fractional factorial design. Important variables used in assessing seawater corrosion included 7y1 temperature, oxygen, sulfide, urea, chloride and inhibitor at two levels each. Thirty-two experiments were conducted for each alloy. The study investigated main effects (single variable), and two-and three-way interactions. The general linear model was used to estimate the various effects, and a statistical test of significance was carried out to separate the changes in the corrosion rates attributed to the impact of specific variables. Confidence intervals of the various effects were obtained, and the significance of various interactions were established for each alloy. It was found that oxygen and temperature contribute significantly in enhancing corrosion levels.

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Estimating moments of the minimum order
Estimating moments of the minimum order statistic from normal populationsβ€”a bayesian approach
✍ Jean-FranΓ§ois Angers; Duncan K. H. Fong πŸ“‚ Article πŸ“… 1994 πŸ› John Wiley and Sons 🌐 English βš– 487 KB

Let Yi -N(Bi, o?), i = 1, . . . , p, be independently distributed, where Bi and of are unknown. A Bayesian approach is used to estimate the first two moments of the minimum order statistic, W = min( Y I , . . . , Y,). In order to compute the Bayes estimates, one has to evaluate the predictive densit