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99250 Computer Aided Corrosion Surveillance Using Electrochemical Noise Techniques.

Product Number: 51300-99250-SG
ISBN: 99250 1999 CP
Author: S.A. Reid, G.P. Quirk, M. Hadfield
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Real-time mechanistic analysis of electrochemical noise data is essential for rapid identification of localized corrosion by plant operators. Recent developments towards this goal include: Intelligent Noise Data Reduction techniques to eliminate uninformative data; neural nets which learn how to categorize corrosion mechanisms from data patterns; multivariate analysis which allows the identification of combinations of plant process parameters that cause damage. These techniques can be combined to facilitate pro-active management of the mrrosion problem, including consideration of corrosion mechanisms within the plant optimization process.
Real-time mechanistic analysis of electrochemical noise data is essential for rapid identification of localized corrosion by plant operators. Recent developments towards this goal include: Intelligent Noise Data Reduction techniques to eliminate uninformative data; neural nets which learn how to categorize corrosion mechanisms from data patterns; multivariate analysis which allows the identification of combinations of plant process parameters that cause damage. These techniques can be combined to facilitate pro-active management of the mrrosion problem, including consideration of corrosion mechanisms within the plant optimization process.
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