Approximating and regression method

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  • Thread starter Thread starter Iqbal94
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SUMMARY

The discussion focuses on determining the natural frequency of a crane lifting loads by calculating two constants, A and B, related to the stiffness of the crane's pole and the weight of the crane. The user employed MATHCAD for nonlinear regression but expressed doubts about its effectiveness. They also mentioned using Excel for linear regression calculations, providing specific formulas for calculating the constants based on sums of the data points. The conversation highlights the need for reliable mathematical approximation methods in this context.

PREREQUISITES
  • Understanding of nonlinear regression methods
  • Familiarity with MATHCAD software
  • Basic knowledge of linear regression calculations
  • Proficiency in mathematical summation techniques
NEXT STEPS
  • Explore advanced nonlinear regression techniques in MATHCAD
  • Learn about alternative mathematical approximation methods for curve fitting
  • Investigate the use of Python libraries like NumPy and SciPy for regression analysis
  • Study the principles of mechanical vibrations and their relation to crane dynamics
USEFUL FOR

Engineers, data analysts, and researchers involved in mechanical systems, particularly those focused on crane operations and load dynamics, will benefit from this discussion.

Iqbal94
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Hi guys,

I did a few sets of test in determining the natural frequency of a crane lifting loads. From that, I tried to find two constant from its initial function.

upload_2016-4-5_20-30-10.png


a is the stiffness of the pole that was holding the crane
b is the weight of the crane
x is the weight of the load

The tests were completed by using three different loads on three different position. I plotted the graph as below.

upload_2016-4-5_20-36-7.png


From the obtained graph and the initial function, I tried to determine the value of constant A and B. By calculating manually, the value of A and B are not constant but it supposed to be constant. I tried using MATHCAD to find the value of the constants by using nonlinear regression method but I am not convince that is a right solution. Any of you know any mathematical approximation method that I can use?
 
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Iqbal94 said:
Any of you know any mathematical approximation method that I can use?
Excel does linear regression directly. If you want it mathematically, you must calculate:
  1. s_{1}=\sum x_{j}
  2. s_{2}=\sum x_{j}^{2}
  3. t_{1}=\sum y_{j}
  4. t_{2}=\sum y_{j}^{2}
  5. v_{1}=\sum x_{j}\cdot y_{j}
Assuming that you have n points, you then calculate a=\frac{t_{1}\cdot s_{2}-s_{1}\cdot v_{1}}{n\cdot s_{2}-s_{1}^{2}} and b=\frac{n\cdot v_{1}-s_{1}\cdot t_{1}}{n\cdot s_{2}-s_{1}^{2}}. The regression line is then given by y=a\cdot x + b.
 

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