modal coefficients identification using wavelet transform
Authors
abstract
identification of damping parameter is usually more complicated and unreliable comparing to mass or stiffness identification in structural dynamics. there are many factors such as intermolecular friction, coulomb friction and viscous damping affecting the damping mechanisms in a structure. therefore it is difficult, and in some cases impossible, to describe the details of damping mechanisms by using mathematical tools. in order to overcome the difficulties arising when using different damping models, the equivalent viscous damping is used. the coefficient of equivalent viscous damping can be identified experimentally by measuring the structural response. during the past decades, many methods have been proposed for damping parameter identification employing time domain data (e.g. logarithmic decrement method) or frequency domain data (e.g. using frequency response functions). there are also time-frequency methods such as wavelet transform. this paper deals with identification of modal damping coefficients and natural frequencies of a structure using wavelet transform. the results obtained by using wavelet transform has a good agreement with those resulted from model updating in lower modes.
similar resources
Damage identification of structures using experimental modal analysis and continuous wavelet transform
Abstract: Modal analysis is a powerful technique for understanding the behavior and performance of structures. Modal analysis can be conducted via artificial excitation, e.g. shaker or instrument hammer excitation. Input force and output responses are measured. That is normally referred to as experimental modal analysis (EMA). EMA consists of three steps: data acquisition, system identificatio...
full textBreast abnormalities segmentation using the wavelet transform coefficients aggregation
Introduction: Breast cancer is the most common cancer among women in the world. The automatic detection of masses in digital mammograms is a challenging task and a major step in the development of breast cancer CAD systems. In this study, we introduce a new method for automatic detection of suspicious mass candidate (SMC) regions in a mammogram. Methods: Mammography is widely used for the early...
full textSimple Identification of Nonlinear Modal Parameters Using Wavelet Transform
Estimation of the modal parameters of mechanical systems or structures is usually achieved by applying the well-known Frequency Response Function (FRF) method to experimental data obtained from free vibration after a shock excitation of the system or forced vibration using a variety of excitation signals. This method is however limited only to linear systems. The problem becomes more complex wh...
full textgravity sources identification using continuous wavelet transform
introduction: wavelet transform is one of the useful and suitable tools for time series and signal analysis. nowadays wavelet transform is frequently used in geophysical data processing and interpretation, especially seismic data. however, the use of this method isn’t widespread in gravity and geomagnetic. fedi and quarta (1998), martelet et al. (2001) and de oliveira lyrio (2004) used the wave...
full textCrop Identification Using Gabor Wavelet Transform
This paper illustrates the use of Gabor wavelet transform on satellite images to classify the land in to crop land and noncrop land and to classify different crops. The input image is enhanced first using Colour Space Transform and Discrete Cosine Transform, and then a filter bank consisting of Gabor wavelets is used to extract texture features from the satellite image. The feature formation pr...
full textSpeaker Identification Using Discrete Wavelet Transform
Corresponding Author: Shanthini Pandiaraj Department of Electronics and Media Tech., Karunya University, Coimbatore, India Email: [email protected] Abstract: This study presents an experimental evaluation of Discrete Wavelet Transforms for use in speaker identification. The features are tested using speech data provided by the CHAINS corpus. This system consists of two stages: Feature extract...
full textMy Resources
Save resource for easier access later
Journal title:
international journal of advanced design and manufacturing technologyجلد ۴، شماره ۳، صفحات ۵۹-۶۶
Hosted on Doprax cloud platform doprax.com
copyright © 2015-2023