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2 edition of On-line robust modal stability prediction using wavelet processing found in the catalog.

On-line robust modal stability prediction using wavelet processing

Martin J. Brenner

On-line robust modal stability prediction using wavelet processing

  • 128 Want to read
  • 25 Currently reading

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

    Subjects:
  • Aeroelasticity -- Computer simulation.,
  • Modal analysis.,
  • Stability of airplanes -- Mathematical models.,
  • System identification.,
  • Wavelets (Mathematics)

  • Edition Notes

    Other titlesOnline robust modal stability prediction using wavelet processing
    StatementMartin J. Brenner and Rick Lind.
    SeriesNASA TM -- 1998-206550, NASA technical memorandum -- 1998-206550., NASA technical paper -- 1998-206550.
    ContributionsLind, Rick, 1968-, Hugh L. Dryden Flight Research Center.
    The Physical Object
    Pagination14 p. :
    Number of Pages14
    ID Numbers
    Open LibraryOL20654923M

      The prediction of PD-1 is important for the progression and postoperative recurrence of HCC. The model we built for PD-1 prediction has achieved good results ( AUC for PD-1 prediction). By integrating multi-modal ultrasound image information, the radiomics model can determine PD-1 by: 8. Power system stabilizers (PSS) has been widely used to enhance damping due to the electromechanical low frequency oscillations occurrence in power systems. In this paper, a new method is used for the online tuning of parameters of conventional power system stabilizers (CPSS) using fuzzy logic. Fuzzy logic enables mathematical modeling and computation of . Structural Damage Detection Using Artificial Neural Networks and Wavelet Transform Arthur Shi, Xiao-Hua Yu — With the ever-increasing demand for the safety and functionality of civil infrastructures, structure health monitoring (SHM) has now become more and more important. Recent developments in computational intelligence and digital. @article{osti_, title = {Enhanced method to reconstruct mode shapes of continuous scanning measurements using the Hilbert Huang transform and the modal analysis method}, author = {Lee, Jongsuh and Hussain, Syed Hassaan and Wang, Semyung and Park, Kyihwan}, abstractNote = {Generally, it is time consuming to experimentally identify the operating .

    Eddy and wavelet share common features in many physical aspects, and wavelet can be regarded as the mathematical mode of an eddy structure in turbulent flows [28][29]. As a new tool,wavelet transform can be devoted to identify coherent structure in wall turbulence instead of the conditional sampling methods traditionally by: 3.


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On-line robust modal stability prediction using wavelet processing by Martin J. Brenner Download PDF EPUB FB2

On-Line Robust Modal Stability Prediction Using Wavelet Processing, by Martin J. Brenner and Rick Lind was released in September as a duplicate printing.

One iteration of the report was mailed with an incorrect number on the cover: NASA/TP in the model validation process. Nonparametric wavelet processing of data is used to reduce the effects of external disturbances and unmodeled dynamics.

Parametric estimates of modal stability are also extracted using the wavelet transform. Computation of robust stability margins for stability boundary prediction depends on. BibTeX @INPROCEEDINGS{Brenner98on-linerobust, author = {Martin J. Brenner and Rick Lind}, title = {On-line Robust Modal Stability Prediction Using Wavelet}, booktitle.

Get this from a library. On-line robust modal stability prediction using wavelet processing. [Martin J Brenner; Rick Lind; Dryden Flight Research Facility.; United States. National Aeronautics and Space Administration,; United States. National Technical Information Service,].

On-Line Robust Modal Stability Prediction using Wavelet Processing. Nonparametric wavelet processing of data is used to reduce the effects of external disturbances and unmodeled dynamics.

Parametric estimates of modal stability are also extracted using the wavelet transform. Computation of robust stability margins for stability boundary Author: Martin J.

Brenner and Rick Lind. Brenner and R. Lind, "On-Line Aeroelastic Robust Stability Prediction using Wavelet Filtering," 21st Congress of the International Council of Aeronautical Sciences, Melbourne, Australia, ICAS, September Parametric estimates of modal stability are also extracted using the wavelet transform.

Computation of robust stability margins for stability boundary prediction depends on. Pernot & Lamarque [11] have computed the transient responses of parametrically excited dynamic systems by using wavelet transforms and also used them for a stability. A Robust Embedded Data from Wavelet Coefficients a watermark should be robust to typical image processing operations, including lossy compression.

Compression techniques, such as JPEG, typically affect the high frequency compo- We propose the use of a wavelet transform to embed signature information in different frequency bands. Use of this web site signifies your agreement to the terms and conditions.

IEEE Xplore. Delivering full text access to the world's highest quality technical literature in engineering and technology. Parametric estimates of modal stability are also extracted using the wavelet transform. F High Alpha Research Vehicle ASE ight test data are used to demonstrate improved robust stability prediction by extension of the stability boundary from within the ight envelope to conditions suf cently beyond the actual ight regime.

Univariate Wavelet Regression. This section takes you through the features of 1-D wavelet regression estimation using one of the Wavelet Toolbox™ specialized tools. The toolbox provides a Wavelet Analyzer app to explore some denoising schemes for. A Wavelet Based Prediction Method for Time Series 3 creasingly adopted by signal processing researchers.

Haar wavelet transform, which is also the simples Daubechies wavelet is a good choice to detect time localized information. In this work we propose to use some mother wavelets belonging to Daubechies family, but also other orthogonal wavelet File Size: KB.

Introduction. Modal analysis is an important and useful tool used for various engineering applications, such as design or dynamic testing. Parameters gathered from modal analysis – i.e. natural frequencies, damping ratios and mode shapes – are important not only to achieve desirable properties and performance but also to prevent undesirable characteristics (e.g.

Cited by: NASA/TM, Estimation of Modal Parameters Using a Wavelet-Based Approach, by Rick Lind, Marty Brenner, and Sydney M. Haley has an incorrect spelling on the cover page, title page, and report documentation page.

Please make the following changes to this document. Delete the first name spelled "Sidney" on all three pages of the document. Wavelet-Based Combined Signal Filtering and Prediction Olivier Renaud, Jean-Luc Starck, and Fionn Murtagh Abstract—We survey a number of applications of the wavelet transform in time series prediction.

We show how multiresolution prediction can capture short-range and long-term dependencies with only a few parameters to be estimated. The slowest wavelet processing algorithm is CWT which involves many continuous scales.

A multiple-mode wavelet-index is developed based on biorthogonal wavelet using DWT of the modal frequency curves. DWT was selected for this work for fast multi-mode processing of the modal frequency curves by: Nonparametric wavelet processing of data is used to reduce the effects of external disturbances and unmodeled dynamics.

Parametric estimates of modal stability are also extracted using the wavelet transform. F High Alpha Research Vehicle ASE ight test data are used to demonstrate improved robust stability prediction by extension of the Author: Marty Brenner, Rick Lind and Wadd Win Wns.

In order to achieve a more accurate and robust traffic volume prediction model, the sensitivity of wavelet neural network model (WNNM) is analyzed in this study. Based on real loop detector data which is provided by traffic police detachment of Maanshan, WNNM is discussed with different numbers of input neurons, different number of hidden neurons, and traffic volume for Cited by: 5.

To deal with the characteristic of network traffic, a prediction algorithm based on wavelet transform and Season ARIMA model is introduced in this paper.

The complex correlation structure of the network history traffic is exploited with wavelet the traffic series under different time scale, self-similarity is analyzed and different Cited by: 6. In this study, a wavelet neural network (WNN)-based adaptive robust control (WARC) strategy is investigated to resolve the tracking control problem of a class of multi-input multi-output (MIMO) uncertain nonlinear systems.

The proposed control system comprises of an adaptive wavelet controller and a robust controller. The adaptive wavelet controller acts as Cited by: 8. Wavelet Neural Network (WNN) is a new form of neural network combined with the wavelet theory and artificial neural network.

The wavelet neural network model based on Morlet wavelet and the corresponding learning algorithm were studied in this paper. And through learning the wavelet neural network model is applied to all kinds of engineering examples, it proved that the wavelet Cited by: 3.

Properties of the Wavelet Series Multiresolution Analysis Biorthogonal Wavelet Series Wavelet Frame Series Definition of the Wavelet Frame Series Frames from Sampled Wavelet Series Continuous Wavelet Transform Definition of the Continuous Wavelet Transform File Size: 4MB.

Wavelet analysis on vibration modal frequency measurement at a low level of strain of the turbine blade using FBG sensors To cite this article: Xue-feng Huang et al Meas. Sci. Technol. 21 View the article online for updates and enhancements.

Related content Wavelet analysis of optical signal extracted from a non-contact fibre-optic. The proposed method characterizes the significant transition from high dimensional to low dimensional dynamics in the cutting process at the onset of chatter.

Based on the observation that cutting signals contain fractal patterns, a wavelet-based maximum likelihood (ML) estimation algorithm is applied to on-line chatter by: ON-LINE ROBUST MODAL STABILITY PREDICTION USING WAVELET PROCESSING, Technical Memorandum Authors: Martin J.

Brenner and Rick Lind Report Number: NASA-TM Performing Organization: NASA Dryden Flight Research Center, Edwards, CA Availability: Format(s) on-line: Postscript (1, KBytes) PDF ( KBytes) Report Date:.

In the paper, proposed a new method for the time frequency signal analysis, speech processing and other signal processing applications.

Stationary signal components can be analyzed by a powerful tool called as Fourier transform. But it is fizzled for analysing the non-stationary signal whereas wavelet transform allows the components of a non-stationary signal.

A Wavelet Based Prediction Method for Time Series Cristina Stolojescu Alexandru Isar Politehnica University Timisoara, Romania Ion Railean Technical University Cluj-Napoca, Romania Sorin Moga Philippe Lenca Institut TELECOM, TELECOM Bretagne, France Stochastic Modeling Techniques and Data Analysis International Conference, Chania, Crete.

8 -   Wavelet analysis provides multi-resolution in time-frequency distribution for easier detection of abnormal vibration signals.

From the results of extensive experiments performed in a series of motor-pump driven systems, the methods of wavelet analysis and FFT with ED are proven to be efficient in detecting some types of bearing by: which permits unrestricted use, distribution, and reproductio n in any medium, provided the original work is properly cited.

In order to achieve a more accurate and robust tra c volume prediction model, the sensitivity of wavelet neural network model (WNNM) is. using wavelet analysis of its free decay response (ref [5]). The procedure of nonlinear system identification based on the ridges and skeletons of the wavelet transform was validated using a SDOF nonlinear experimental analysis in ref [6].

Lind et al. introduced wavelet analysis for processing flight data to extract information about structural. Damage identification of structures using experimental modal analysis and continuous wavelet transform Amin Gholizad*, Hadi Safari** ARTICLE INFO Article history: Received: In recent years, the use of wavelet analysis in damage detection has become an area of research.

Alteration of the. on-line health monitoring and damage detection of structures based on the wavelet transform 21 November | International Journal of Structural Stability and Dynamics, Vol.

08, No. 03 Vibration based operational modal analysis of rotor systemsCited by:   The SVR models were created using OnlineSVR software. Wavelets were used in the pre-processing step to denoise the original time series signals using Discrete Wavelet Transform to improve the prediction accuracy of the new hybrid WANN and WSVR models.

The bootstrap technique is used for statistical interpretation. It estimates statistical. Recently, damage assessment of composite structures being in operation has been one of crucial problems in industries such as aircraft, aerospace, automotive, etc.

Following this, rapid development of non-destructive testing methods has been observed over the last decades. One of the promising approaches is vibration-based one, which in general is based on identification of a damage using Cited by: 7.

CORRELATION FILTERING OF MODAL DYNAMICS USING THE LAPLACE WAVELET Lawrence C. Freudinger, Rick Lind and Martin J. Brenner NASA Dryden Flight Research Center Edwards, CA Abstract Wavelet analysis allows processing of transient re­ sponse data commonly encountered in vibration health.

A wavelet neural network with time delay is proposed based on nonlinear autoregressive model with exogenous inputs (NARMAX) model, and the sensitivity method is applied in the selection of network inputs. The inclusion of delayed system information improves the network&#x;s capability of representing the dynamic changes of time-varying systems.

The implement of Cited by: 7. Operational modal analysis is a challenging task to deal with output-only vibration measurements contaminated by noise. This paper proposes a new method for operational modal identification of a linear system using continuous-wavelet transmissibility (CWTR) to make full use of the advantages of operational transmissibility measurements and wavelet transform.

This paper presents an effective way in damage detection of beam structures using the wavelet analysis along with the general beam solution. Two case studies are considered: (1) a clamped beam with a damage point of zero bending moment; and (2) a simply supported beam with a transverse open by: of noise filtering.

Wavelet thresholding is a proven denoising technique which is capable of removing an image’s noise avoiding altering other components, like high frequencies regions, by thresholding the wavelet transform coefficients, thus not causing blurring.

Despite its effectiveness, the choice of the threshold is a known : Daniel Cavalcanti Jeronymo. Wavelets and Image Compression, by Bradley J. Lucier, in Mathematical Methods in CAGD and Image Processing, Tom Lyche and L.

L. Schumaker (eds.), Academic Press,Abstract: In this paper we present certain results about the com- pression of images using concentrate on the simplest case of the Haar decomposition and compression in. Modal parameters based structural damage detection using artificial neural networks - a review Smart Structures and Systems, Vol.

14, No. 2 A Structural Impairment Detection System Using Competitive Arrays of Artificial Neural NetworksCited by: Signal Processing Mechanical Systems and Signal Processing 21 () – Identification of modal parameters of a time invariant linear system by continuous wavelet transformation C.S.

Huang, W.C. Su Department of Civil Engineering, National Chiao Tung University, Ta-Hsueh Road, HsinchuTaiwan.