Wavelet filtering to reduce conservatism in aeroservoelastic robust stability margins
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Wavelet filtering to reduce conservatism in aeroservoelastic robust stability margins

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Published by National Aeronautics and Space Administration, Dryden Flight Research Center, National Technical Information Service, distributor in Edwards, Calif, [Springfield, Va .
Written in English

Subjects:

  • Wavelet analysis,
  • Aeroservoelasticity,
  • Transfer functions

Book details:

Edition Notes

StatementMarty Brenner, Rick Lind.
SeriesNASA/TM -- 1998-206545., NASA technical memorandum -- 206545.
ContributionsLind, Rick., Dryden Flight Research Facility.
The Physical Object
FormatMicroform
Pagination1 v.
ID Numbers
Open LibraryOL17837668M
OCLC/WorldCa40416373

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Wavelet Filtering to Reduce Conservatism in Aeroservoelastic Robust Stab ility Margins Author: Marty Brenner and Rick Lind Subject: 08 Keywords: Aeroservoelasticity, Modal estimation, Robust stability, Uncertainty mod eling Wavelet analysis Created Date: 11/7/ PM. Wavelet analysis for filtering and system identification was used to improve the estimation of aeroservoelastic stability margins. The conservatism of the robust stability margins was reduced with parametric and nonparametric time-frequency analysis of flight data in the model validation process. Nonparametric wavelet processing of data was used to reduce the effects of external desirableness Author: Rick Lind and Marty Brenner. M. Brenner and R. Lind, "Wavelet Filtering to Reduce Conservatism in Aeroservoelastic Robust Stability Margins," AIAA Structures, Structural Dynamics, and Materials Conference, Long Beach, CA, AIAA, April An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them.

An on-line method based on robust mu analysis is presented to evaluate the stability margin of multi-loop aeroservoelastic system from flight testing data. The flight data is preprocessed to remove noise by wavelet filter in time-frequency domain.   Robust Flutter Margins of an F/A Aircraft from Aeroelastic Flight Data. Analyzing aeroservoelastic stability margins using the mu method. Rick Lind and Marty Brenner; 22 August Wavelet filtering to reduce conservatism in aeroservoelastic robust stability by: Development of an integrated aeroservoelastic analysis program and correlation with test data [microform Wavelet filtering to reduce conservatism in aeroservoelastic robust stability margins [microform] / Mart Aeroservoelastic modeling and validation of a thrust-vectoring F/A aircraft [microform] / Martin J. B. Here are the approximations and details produced using the Haar wavelet at level 4 (Fig. 2). The approximations and details reveal the vibration signal and the noise. In wavelet analysis, the approximations are the output of the low-pass filters, and the details are the output of the high-pass filters Cited by:

The wavelet transform or wavelet analysis is probably the most recent solution to overcome the shortcomings of the Fourier transform. In wavelet analysis the use of a fully scalable modulated window solves the signal-cuttingFile Size: KB. 39th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference and Exhibit. The book code is designed to work with the freeware R package WaveThresh4, but the book can be read independently of R. The book introduces the wavelet transform by starting with the simple Haar wavelet transform, and then builds to consider more general wavelets, complex-valued wavelets, non-decimated transforms, multidimensional wavelets. An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them.4/5(1).