sdypy-EMA
Experimental and operational modal analysis
This project is successor of the pyEMA project. pyEMA is no longer developed after version 0.26.
Basic usage
Import EMA module:
from sdypy import EMA
Make an instance of Model class:
a = EMA.Model(
frf_matrix,
frequency_array,
lower=50,
upper=10000,
pol_order_high=60
)
Compute poles:
a.get_poles()
Determine correct poles:
The stable poles can be determined in two ways:
Display stability chart
a.select_poles()
The stability chart displayes calculated poles and the user can hand-pick the stable ones. The chart opens in a Qt window when PySide6 or PyQt6 is installed (pip install sdypy-EMA[qt]), otherwise in a Tk window.
If the approximate values of natural frequencies are already known, it is not necessary to display the stability chart:
approx_nat_freq = [314, 864]
a.select_closest_poles(approx_nat_freq)
After the stable poles are selected, the natural frequencies and damping coefficients can now be accessed:
a.nat_freq # natrual frequencies
a.nat_xi # damping coefficients
Reconstruction:
There are two types of reconstruction possible:
Reconstruction using own poles (the default option):
H, A = a.get_constants(whose_poles='own')
where H is reconstructed FRF matrix and A is a matrix of modal constants.
Reconstruction on c using poles from a:
c = EMA.Model(frf_matrix, frequency_array, lower=50, upper=10000, pol_order_high=60)
H, A = c.get_constants(whose_poles=a)
Release files for sdypy-EMA 0.30.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sdypy_ema-0.30.0.tar.gz | 35.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| sdypy_ema-0.30.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.7 kB
Release files / sdypy_ema-0.30.0.tar.gz
| Download URL | sdypy_ema-0.30.0.tar.gz |
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