๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

ON THE USE OF THE GAUSS FILTER IN MODAL PARAMETER ESTIMATION

โœ Scribed by A. AGNENI


Publisher
Elsevier Science
Year
2000
Tongue
English
Weight
165 KB
Volume
14
Category
Article
ISSN
0888-3270

No coin nor oath required. For personal study only.

โœฆ Synopsis


The paper deals with the modal parameter estimation from the instantaneous envelope and phase*achievable by the Hilbert transform*of a single mode "ltered from a frequency response function by the Gauss "lter. It is possible, modulating the Gauss function, to put its maximum on the desired frequency, for instance on the peak of the mode of interest. Then a suitable choice of the parameter, which determines the sharpness of the Gauss function, permits to face the problem of modes with di!erent damping, also in the highest frequencies of the band. This last point has been the major drawback of similar estimation methods based on the Gauss}Morlet wavelet. The results presented have been obtained both from numerical simulations and from experimental tests: the "rst ones achieved from synthesised impulse response functions of single and multiple lumped degree of freedom systems, and the second ones carried out on a simple structure (clamped aluminium plate).


๐Ÿ“œ SIMILAR VOLUMES


MODAL PARAMETER ESTIMATION USING THE STA
โœ K. Liu ๐Ÿ“‚ Article ๐Ÿ“… 1996 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 284 KB

In modal parameter identification, the damped complex exponential response methods extract modal parameters using free decay responses. Although there are several different complex exponential methods, they are based on the Prony method. The Prony method has some limitations, such as poor robustness

IDENTIFICATION OF ROTOR-BEARING SYSTEMS
โœ FRANK PEETERS; RIK PINTELON; JOHAN SCHOUKENS; YVES ROLAIN ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 334 KB

This paper discusses the parametric identi"cation of multiple-input}multiple-output (MIMO) rotor-bearing systems in the frequency domain on the basis of the maximum likelihood estimator (MLE). An identi"cation procedure, considering noise on both inputs and outputs (errors-in variables model), is de

USING THE CROSS-CORRELATION TECHNIQUE TO
โœ F. SHEN; M. ZHENG; D. FENG SHI; F. XU ๐Ÿ“‚ Article ๐Ÿ“… 2003 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 236 KB

Modal parameter identification is used to identify those parameters of the model which describe the dynamic properties of a vibration system. Classical modal parameter extractions usually require measurements of both the input force and the resulting response in laboratory conditions. However, when