Electrochemical noise has been used at the Hanford Site for a number of years to monitor in real time in order to detect pitting corrosion and stress corrosion cracking (SCC) mechanisms in high level nuclear waste tanks. Currently the monitoring technique has only been implemented on three of the 177 underground storage tanks on the site. Widespread implementation of the technique has been held back for a number of reasons, including issues around managing the large volume of data associated with electrochemical noise and the complexity of data analysis. Expert review of raw current and potential measurements is the primary form of data analysis currently used at the Hanford site. This paper demonstrates the application of an on-line data filtering and analysis technique that could allow data from field applications of electrochemical noise to be managed by exception, transforming electrochemical noise data into a process parameter and focusing data analysis efforts on the important data. Results of the analysis demonstrate a data compression rate of 95%; that is, only 5% of the data would require expert analysis if such a technique were implemented. It is also demonstrated that this technique is capable of identifying key periods where localized corrosion activity is apparent.

Subject
Electrochemical noise, Corrosion detection, Algorithms, Electrochemical data, Corrosion data, Pitting, Localized corrosion, Corrosion monitoring, Corrosion mechanisms, Wastes, Electrodes, Stress corrosion cracking, Electrode potential
Keywords:
Corrosion monitoring, electrochemical noise, data analysis, localized corrosion mechanisms, nuclear waste tanks, data management, on-line corrosion monitoring, real time corrosion monitoring, pitting corrosion
© 2004 Association for Materials Protection and Performance (AMPP). All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise) without the prior written permission of AMPP. Positions and opinions advanced in this work are those of the author(s) and not necessarily those of AMPP. Responsibility for the content of the work lies solely with the author(s).
2004
Association for Materials Protection and Performance (AMPP)
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