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http://dx.doi.org/10.5516/NET.2007.39.3.221

INVESTIGATION OF REACTOR CONDITION MONITORING AND SINGULARITY DETECTION VIA WAVELET TRANSFORM AND DE-NOISING  

Kim, Ok-Joo (Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology)
Cho, Nan-Zin (Department of Nuclear and Quantum Engineering, Korea Advanced Institute of Science and Technology)
Park, Chang-Je (Korea Atomic Energy Research Institute)
Park, Moon-Ghu (Korea Electric Power Research Institute)
Publication Information
Nuclear Engineering and Technology / v.39, no.3, 2007 , pp. 221-230 More about this Journal
Abstract
Wavelet theory was applied to detect a singularity in a reactor power signal. Compared to Fourier transform, wavelet transform has localization properties in space and frequency. Therefore, using wavelet transform after de-noising, singular points can easily be found. To test this theory, reactor power signals were generated using the HANARO(a Korean multi-purpose research reactor) dynamics model consisting of 39 nonlinear differential equations contaminated with Gaussian noise. Wavelet transform decomposition and de-noising procedures were applied to these signals. It was possible to detect singular events such as a sudden reactivity change and abrupt intrinsic property changes. Thus, this method could be profitably utilized in a real-time system for automatic event recognition(e.g., reactor condition monitoring).
Keywords
De-noising by Thresholding Algorithm; Singularity Detection; Wavelet Transform; HANARO Research Reactor;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
Times Cited By Web Of Science : 0  (Related Records In Web of Science)
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