Application of Wavelet Transforms as a Time-Series Analysis Tool for Nuclear Thermalhydraulics
NURETH-14 - 2011 September 25-30

Presented at:
2011 September 25-30
Toronto, Canada
Session Title:
O4-1 BEPU (Best Estimate code Plus Uncertainty) method, CSAU, Statistical Methods

Daniel J. Pohl (AMEC NSS )
Adrian I. Popescu (AMEC NSS )
Jason Pascoe (AMEC NSS )


Wavelet transforms can be a valuable time-series analysis tool in the field of nuclear thermalhydraulics.  As an example, the Morlet wavelet transform can be used to reduce the aleatory (random) uncertainty of a voiding transient in a large loss of coolant accident (LOCA).  The wavelet transform is used to determine the cutoff frequency for a low pass Butterworth filter in order to remove the noisy part of the signal without infringing upon the characteristic frequencies of the phenomenon.  This technique successfully reduced the standard random uncertainty by 42.4%.

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