Non-linear curve fitting for modal analysis

1996 ◽  
Vol 11 (1-3) ◽  
pp. 9-18 ◽  
Author(s):  
T.J. Chalko ◽  
N. Haritos ◽  
V. Gershkovich
Keyword(s):  
Modal Analysis ◽  
Curve Fitting ◽  
Non Linear

Non-linear modal analysis for beams subjected to axial loads: Analytical and finite-element solutions

2008 ◽  
Vol 43 (6) ◽  
pp. 551-561 ◽  
Author(s):  
Carlos E.N. Mazzilli ◽  
César T. Sanches ◽  
Odulpho G.P. Baracho Neto ◽  
Marian Wiercigroch ◽  
Marko Keber
Keyword(s):  
Finite Element ◽  
Modal Analysis ◽  
Axial Loads ◽  
Non Linear

Machine Learning Techniques on Multidimensional Curve Fitting Data Based on R- Square and Chi-Square Methods

2016 ◽  
Vol 6 (3) ◽  
pp. 974 ◽  
Author(s):  
Vidyullatha P ◽  
D. Rajeswara Rao
Keyword(s):  
Machine Learning ◽  
Linear Model ◽  
Curve Fitting ◽  
Linear Models ◽  
Machine Learning Techniques ◽  
Chi Square ◽  
Curve Fit ◽  
Learning Techniques ◽  
Non Linear ◽  
Data Points

<p>Curve fitting is one of the procedures in data analysis and is helpful for prediction analysis showing graphically how the data points are related to one another whether it is in linear or non-linear model. Usually, the curve fit will find the concentrates along the curve or it will just use to smooth the data and upgrade the presence of the plot. Curve fitting checks the relationship between independent variables and dependent variables with the objective of characterizing a good fit model. Curve fitting finds mathematical equation that best fits given information. In this paper, 150 unorganized data points of environmental variables are used to develop Linear and non-linear data modelling which are evaluated by utilizing 3 dimensional ‘Sftool’ and ‘Labfit’ machine learning techniques. In Linear model, the best estimations of the coefficients are realized by the estimation of R- square turns in to one and in Non-Linear models with least Chi-square are the criteria. </p>

Powertrain Resilient Mounting Design Analysis

2018 ◽  
Author(s):  
Tigran Parikyan ◽  
Nikola Naranca ◽  
Jochen Neher
Keyword(s):  
Rigid Body ◽  
Modal Analysis ◽  
Frequency Domain ◽  
Static Analysis ◽  
Software Tool ◽  
Software Tools ◽  
Forced Response ◽  
Marine Engine ◽  
Linear Elastic ◽  
Non Linear

For efficient modeling of engine (or powertrain) supported by non-linear elastic mounts, a special methodology has been elaborated. Based on it, software tool has been developed to analyze the motion of rigid body and elastic mounts, which comprises of three modules: • Non-linear static analysis; • Modal analysis (undamped and damped); • Forced response (in frequency domain). Application example of a large V12 marine engine illustrates the suggested workflow. The results are verified against other software tools and validated by measurements.

SU-FF-I-65: Assessment of Advanced Algorithm in Non-Linear Curve Fitting for DSC in Human Brain

2006 ◽  
Vol 33 (6Part4) ◽  
pp. 2011-2011
Author(s):  
SI Yoon ◽  
GH Jahng ◽  
HS Khang ◽  
YJ Kim ◽  
BY Choe
Keyword(s):  
Human Brain ◽  
Curve Fitting ◽  
Non Linear ◽  
Advanced Algorithm
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