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Sensors 2011, 11(6), 5695-5715; doi:10.3390/s110605695
Article

Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals

†,*  and
Received: 8 April 2011; in revised form: 9 May 2011 / Accepted: 23 May 2011 / Published: 27 May 2011
(This article belongs to the Special Issue Advanced Sensing Technology for Nondestructive Evaluation)
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Abstract: The damage caused by corrosion in chemical process installations can lead to unexpected plant shutdowns and the leakage of potentially toxic chemicals into the environment. When subjected to corrosion, structural changes in the material occur, leading to energy releases as acoustic waves. This acoustic activity can in turn be used for corrosion monitoring, and even for predicting the type of corrosion. Here we apply wavelet packet decomposition to extract features from acoustic emission signals. We then use the extracted wavelet packet coefficients for distinguishing between the most important types of corrosion processes in the chemical process industry: uniform corrosion, pitting and stress corrosion cracking. The local discriminant basis selection algorithm can be considered as a standard for the selection of the most discriminative wavelet coefficients. However, it does not take the statistical dependencies between wavelet coefficients into account. We show that, when these dependencies are ignored, a lower accuracy is obtained in predicting the corrosion type. We compare several mutual information filters to take these dependencies into account in order to arrive at a more accurate prediction.
Keywords: acoustic emission; chemical process industry; corrosion monitoring; feature subset selection; information theory; mutual information; Wavelet Packet Transform acoustic emission; chemical process industry; corrosion monitoring; feature subset selection; information theory; mutual information; Wavelet Packet Transform
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Van Dijck, G.; Van Hulle, M.M. Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals. Sensors 2011, 11, 5695-5715.

AMA Style

Van Dijck G, Van Hulle MM. Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals. Sensors. 2011; 11(6):5695-5715.

Chicago/Turabian Style

Van Dijck, Gert; Van Hulle, Marc M. 2011. "Information Theory Filters for Wavelet Packet Coefficient Selection with Application to Corrosion Type Identification from Acoustic Emission Signals." Sensors 11, no. 6: 5695-5715.



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