타이틀 |
NONSTATIONARY DYNAMICS DATA ANALYSIS WITH WAVELET-SVD FILTERING |
저자 |
Marty Brenner and Dale Groutage |
Keyword |
Aeroelasticity; Aeroservoelasticity; Singular value decomposition; System identification; Time-frequency analysis; Wavelet analysis |
URL |
http://www.dfrc.nasa.gov/DTRS/2001/PDF/H-2445.pdf |
보고서번호 |
NASA-TM-2001-210391 |
발행년도 |
2001 |
출처 |
NASA Dryden Flight Research Center |
ABSTRACT |
Nonstationary time-frequency analysis is used for identification and classification of aeroelastic and aeroservoelastic dynamics. Time-frequency multiscale wavelet processing generates discrete energy density distributions. The distributions are processed using the singular value decomposition (SVD). Discrete density functions derived from the SVD generate moments that detect the principal features in the data. The SVD standard basis vectors are applied and then compared with a transformed-SVD, or TSVD, which reduces the number of features into more compact energy density concentrations. Finally, from the feature extraction, wavelet-based modal parameter estimation is applied.
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