Sinusoidal Noise Reduction from Eddy Current Data of Steam Generator Tubes Using Iterative Weighted Multipoint Interpolated DFT (WMIpDFT) Approach

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  • Eddy current testing is a non-destructive technique, which is widely utilized to detect and monitor degradation and flaws such as cracks in the steam generator tubes located in nuclear power plants. Typically, the analysis of eddy current testing data of steam generator tubes is complex due to the presence of noise sources in the data. These noise sources decrease the signal to noise ratio, and therefore, the detection of flaw signals becomes a difficult task. A signal processing technique has been proposed in this study, which utilizes the Weighted Multipoint Interpolated Discrete Fourier Transform algorithm iteratively, to reduce low frequency sinusoidal noise as a noise source. The performance of the proposed algorithm was assessed based on the noise level, and the flaw signal power. It has been shown that the algorithm effectively estimates the parameters of sinusoidal noise, and improves the signal to noise ratio of the flaw signals.

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  • Copyright © 2017 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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  • 2017


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