Experimental study on a general data-based nonlinear identification approach for a MDOF frame model structure

2010 ◽  
Author(s):  
Bin Xu ◽  
Jia He ◽  
Ren Zhou ◽  
Sami F. Masri ◽  
Jane W. Z. Lu ◽  
...  
Keyword(s):  
Experimental Study ◽  
Model Structure ◽  
Nonlinear Identification ◽  
Frame Model ◽  
Identification Approach ◽  
General Data

Dynamic Modeling of an Unmanned Helicopter From Flight Test Data

2011 ◽  
Author(s):  
Guanlin Wang ◽  
Jihong Zhu ◽  
Hui Xia
Keyword(s):  
Minimum Cost ◽  
Flight Test ◽  
Model Parameters ◽  
Model Structure ◽  
Unmanned Helicopter ◽  
Final Model ◽  
Identification Approach ◽  
Model Set ◽  
Partition Method ◽  
Approach Time

Accurately modeling the dynamic characteristics of a helicopter is difficult and time-consuming. This paper presents a new identification approach which applies the modes partition method and structure traversal (MPM/ST) algorithm. The dynamic modes, instead of model parameters of each model structure, are sequentially identified through MPM. The model with the minimum cost function (CF) is chosen from the best model set and is defined as the final model. Real flight tests of an unmanned helicopter are carried out to verify the identification approach. Time- and frequency-domain results of the identified models clearly demonstrate the potential of MPM/ST in modeling such complex systems.

AN INTRODUCTION TO DATA CLUSTERING IN BIOINOFORMATICS

2013 ◽  
pp. 82-86
Author(s):  
Duc Tung Nguyen ◽  
Thi Le Thuy Nguyen ◽  
Le Thanh Nhan Bui
Keyword(s):  
Experimental Study ◽  
Cluster Analysis ◽  
Key Words ◽  
Genome Analysis ◽  
Protein Function ◽  
Data Clustering ◽  
Protein Function Prediction ◽  
Initial Step ◽  
Experimental Methods ◽  
General Data

Experimental methods for genome analysis are of crucial interest and have recently made a considerable progress. However, most complete orders of genomes have at least a half the number of gens with unexplicit note. There are some new trends of research in infomatics to deal with data clustering and treating. In this article, we introduce general data clustering and its application in Protein analysis, an initial step which is highly significant for the experimental study of gemone analysis. This method helps to reduce to number of prediction experiment and to perfect Protein function. Key words: Cluster analysis, bioinformatics, Protein function prediction.

scholarly journals Experimental Study for Damage Identification of Storage Tanks by Adding Virtual Masses

Sensors ◽  
2019 ◽  
Vol 19 (2) ◽  
pp. 220 ◽  
Author(s):  
Jilin Hou ◽  
Pengfei Wang ◽  
Tianyu Jing ◽  
Łukasz Jankowski
Keyword(s):  
Experimental Study ◽  
Finite Element ◽  
Frequency Response ◽  
Response Function ◽  
Storage Tank ◽  
Frequency Response Function ◽  
Damage Identification ◽  
Fe Model ◽  
Storage Tanks ◽  
Identification Approach

This research proposes a damage identification approach for storage tanks that is based on adding virtual masses. First, the frequency response function of a structure with additional virtual masses is deduced based on the Virtual Distortion Method (VDM). Subsequently, a Finite Element (FE) model of a storage tank is established to verify the proposed method; the relation between the added virtual masses and the sensitivity of the virtual structure is analyzed to determine the optimal mass and the corresponding frequency with the highest sensitivity with respect to potential damages. Thereupon, the damage can be localized and quantified by comparing the damage factors of substructures. Finally, an experimental study is conducted on a storage tank. The results confirm that the proposed method is feasible and practical, and that it can be applied for damage identification of storage tanks.

Linearized Squeeze-Film Dynamics: Model Structure and the Interpretation of Experimentally Derived Parameters

1990 ◽  
Vol 204 (4) ◽  
pp. 263-272 ◽  
Author(s):  
C R Burrows ◽  
N C Kucuk ◽  
M N Sahinkaya ◽  
R Stanway
Keyword(s):  
Experimental Study ◽  
Parameter Estimation ◽  
Squeeze Film ◽  
Model Structure ◽  
Vibration Isolator ◽  
Dynamics Model ◽  
Squeeze Film Dampers

In this paper the authors address the problem of parameter estimation in linearized models of squeeze-film dampers. After demonstrating how the choice of an unsuitable model structure can lead to the misinterpretation of experimentally derived coefficients, a technique is described for assessing the significance of individual inertia, damping and stiffness effects associated with the squeeze-film. An experimental study involving a squeeze-film vibration isolator is described. It is shown how the technique allows the model structure to be simplified in a systematic way.

NONLINEAR IDENTIFICATION USING PRIOR KNOWLEDGE OF FIXED POINTS: A MULTIOBJECTIVE APPROACH

2003 ◽  
Vol 13 (05) ◽  
pp. 1229-1246 ◽  
Author(s):  
ERIVELTON G. NEPOMUCENO ◽  
RICARDO H. C. TAKAHASHI ◽  
GLEISON F. V. AMARAL ◽  
LUIS A. AGUIRRE
Keyword(s):  
Dynamical System ◽  
Fixed Points ◽  
Prior Knowledge ◽  
Model Building ◽  
Nonlinear Dynamical System ◽  
Black Box ◽  
Model Structure ◽  
Nonlinear Identification ◽  
Nonlinear Dynamical ◽  
Multiobjective Approach

This paper is devoted to the problem of model building from data produced by a nonlinear dynamical system. Unlike most published works that address the problem from a black-box perspective, in the present paper a procedure is developed that permits the use of prior knowledge about the location of fixed-points in addition to the data thus resulting in a gray-box approach. Numerical results using Chua's double-scroll attractor and the sine map are presented. As discussed, the suggested procedure is useful as a means to partially compensate for the loss of information due to noise and to improve dynamical performance in the presence of model structure mismatches. Preliminary results have indicated that the procedure outlined in this paper is a systematic way of searching for models in the vicinity of the black-box solution. This could have important consequences not only in model building but also in model validation.

Lattice imaging and pore structure of β ferric oxyhydroxide

1978 ◽  
Vol 36 (1) ◽  
pp. 264-265
Author(s):  
T. Baird ◽  
J.R. Fryer ◽  
S.T. Galbraith
Keyword(s):  
Electron Microscopy ◽  
Room Temperature ◽  
Bulk Material ◽  
Model Structure ◽  
Bulk Crystals ◽  
Lattice Imaging ◽  
Thin Sections ◽  
Ferric Oxyhydroxide ◽  
Resolution Electron ◽  
Hydrolysis Of

Introduction Previously we had suggested (l) that the striations observed in the pod shaped crystals of β FeOOH were an artefact of imaging in the electron microscope. Contrary to this adsorption measurements on bulk material had indicated the presence of some porosity and Gallagher (2) had proposed a model structure - based on the hollandite structure - showing the hollandite rods forming the sides of 30Å pores running the length of the crystal. Low resolution electron microscopy by Watson (3) on sectioned crystals embedded in methylmethacrylate had tended to support the existence of such pores.We have applied modern high resolution techniques to the bulk crystals and thin sections of them without confirming these earlier postulatesExperimental β FeOOH was prepared by room temperature hydrolysis of 0.01M solutions of FeCl3.6H2O, The precipitate was washed, dried in air, and embedded in Scandiplast resin. The sections were out on an LKB III Ultramicrotome to a thickness of about 500Å.

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