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08166 Complementing RBI Methodology in Predicting Materials Behavior with a Sophisticated Management Tool

Picture for 08166 Complementing RBI Methodology in Predicting Materials Behavior with a Sophisticated Management
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Product Number: 51300-08166-SG
ISBN: 08166 2008 CP
Author: Michael Renner, Karsten Weber, Knuth Schweier, Werner Schlagner, and Michael Stanislowski
Publication Date: 2008
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$20.00
$20.00
There are several Key Performance Indicators (KPI’s) which allow a judgment whether a Risk Based Inspection (RBI) Assessment & Implementation project was a success or not. One of these KPI’s is definitively the qualification, experience and seniority of the person who is working on the determination of the expected deterioration mechanisms, the prediction when and where a corrosion or other materials failure of equipment or piping system is going to occur. The presentation describes a Knowledge Management Tool which assists materials and corrosion engineers in the prediction of process equipment based upon a mighty corrosion database and state-ofthe- art artificial neuronal network technology. The reliability of results achieved certainly depends on the amount of failure relevant information gathered in the database. Corrosion Management Prediction Tool provides information about the quality of the corrosion prognosis, e.g. the confidence level of the results achieved.
There are several Key Performance Indicators (KPI’s) which allow a judgment whether a Risk Based Inspection (RBI) Assessment & Implementation project was a success or not. One of these KPI’s is definitively the qualification, experience and seniority of the person who is working on the determination of the expected deterioration mechanisms, the prediction when and where a corrosion or other materials failure of equipment or piping system is going to occur. The presentation describes a Knowledge Management Tool which assists materials and corrosion engineers in the prediction of process equipment based upon a mighty corrosion database and state-ofthe- art artificial neuronal network technology. The reliability of results achieved certainly depends on the amount of failure relevant information gathered in the database. Corrosion Management Prediction Tool provides information about the quality of the corrosion prognosis, e.g. the confidence level of the results achieved.
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