Axioms 2013, 2(2), 271-285; doi:10.3390/axioms2020271
Article

Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards

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Received: 24 April 2013; in revised form: 17 May 2013 / Accepted: 22 May 2013 / Published: 18 June 2013
(This article belongs to the Special Issue Wavelets and Applications)
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Abstract: Wavelet analysis is known to be a good option for change detection in many contexts. Detecting changes in solution volumes that are measured with both additive and relative error is an important aspect of safeguards for facilities that process special nuclear material. This paper qualitatively compares wavelet-based change detection to a lag-one differencing option using realistic simulated solution volume data for which the true change points are known. We then show quantitatively that Haar wavelet-based change detection is effective for finding the approximate location of each change point, and that a simple piecewise linear optimization step is effective to refine the initial wavelet-based change point estimate.
Keywords: change detection; Haar wavelet; piecewise linear
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

Longo, C.; Burr, T.; Myers, K. Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards. Axioms 2013, 2, 271-285.

AMA Style

Longo C, Burr T, Myers K. Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards. Axioms. 2013; 2(2):271-285.

Chicago/Turabian Style

Longo, Claire; Burr, Tom; Myers, Kary. 2013. "Change Detection Using Wavelets in Solution Monitoring Data for Nuclear Safeguards." Axioms 2, no. 2: 271-285.

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