Digital signal processing techniques provide an ideal means for real time analysis of signals acquired at the low acquisition rates typically used with electrochemical noise measurement. One of the major problems associated with the application of electrochemical corrosion measurements has been the real time analysis of the data to enable continuous trending of corrosion parameters within the same time frame as other process parameters such as temperature, pressure, flow. Traditionally the data from corrosion monitoring activity has been analyzed and interpreted retrospectively. With the increasing use of embedded processing technology, the development of algorithms to analyze and present the results of the analyses in real time has become a reality using digital signal processing techniques.

This paper illustrates how these techniques can be used effectively to analyze electrochemical noise signals.

Subject
Electric current, Materials, Correlation, Noise measurements, Corrosion currents, Electrochemical noise, Waves, Free corrosion potential, Electrochemical data, Corrosion data, Electrode potential, Types of corrosion, Samples
Keywords:
Electrochemical Noise, Data Analysis, Real Time, Digital Signal Processing
© 2006 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).
2006
Association for Materials Protection and Performance (AMPP)
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