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Picture for Installed UT Sensors for Continuous Corrosion Monitoring: Better Understanding How Process Changes Influence Corrosion Rates
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Installed UT Sensors for Continuous Corrosion Monitoring: Better Understanding How Process Changes Influence Corrosion Rates

Product Number: 51321-16228-SG
Author: Mitchell Gribi
Publication Date: 2021
$20.00
Picture for IOW Analysis With Installed UT Sensors: How Process Changes Impact Corrosion Rates
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IOW Analysis With Installed UT Sensors: How Process Changes Impact Corrosion Rates

Product Number: 51322-17611-SG
Author: Mitchell Gribi, Rebecca Henderson, Ivan Morales, Rebecca Franco, Zackary Lerch
Publication Date: 2022
$20.00

Many asset owners struggle to identify the root cause of fluctuating corrosion rates due to unreliable inspection data. Facilities worldwide are tasked with monitoring thousands of Condition Monitoring Locations (CMLs) with established NDE techniques such as manual ultrasonic testing and radiography. While these techniques can provide valuable “snapshots” of the condition of particular locations, limitations and inherent errors can compound leading to ill-advised decision making. Manually taken thickness data can vary greatly and result in unwarranted complacency or excessive and costly inspections.
Picture for IOW Analysis with Wireless UT Sensors: How Changes Impact Corrosion Rates
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IOW Analysis with Wireless UT Sensors: How Changes Impact Corrosion Rates

Product Number: MECC23-20018-SG
Author: Steve Strachan; Mitch Gribi
Publication Date: 2023
$20.00

Many asset owners struggle to identify the root cause of fluctuating corrosion rates due to unreliable, infrequent, or sheer lacks of quantity of inspection data to make informed decisions on asset health. Facilities worldwide are tasked with monitoring thousands of Condition Monitoring Locations (CMLs) with established NDE techniques such as manual ultrasonic testing and radiography. While these techniques can provide valuable “snapshots” of the condition of particular locations, limitations and inherent errors can compound leading to ill-advised decision making.
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