sdypy-EMA
=========
Experimental and operational modal analysis
Check out the `documentation`_.
This project is successor of the `pyEMA`_ project. pyEMA is no longer developed after version 0.26.
Basic usage
-----------
Import ``EMA`` module:
~~~~~~~~~~~~~~~~~~~~~~
.. code:: python
from sdypy import EMA
Make an instance of ``Model`` class:
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
.. code:: python
a = EMA.Model(
frf_matrix,
frequency_array,
lower=50,
upper=10000,
pol_order_high=60
)
Compute poles:
~~~~~~~~~~~~~~
.. code:: python
a.get_poles()
Determine correct poles:
~~~~~~~~~~~~~~~~~~~~~~~~
The stable poles can be determined in two ways:
1. Display **stability chart**
.. code:: python
a.select_poles()
The stability chart displayes calculated poles and the user can hand-pick the stable ones.
2. If the approximate values of natural frequencies are already known, it is not necessary to display the stability chart:
.. code:: python
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:
.. code:: python
a.nat_freq # natrual frequencies
a.nat_xi # damping coefficients
Reconstruction:
~~~~~~~~~~~~~~~
There are two types of reconstruction possible:
1. Reconstruction using **own** poles (the default option):
.. code:: python
H, A = a.get_constants(whose_poles='own')
where **H** is reconstructed FRF matrix and **A** is a matrix of modal constants.
2. Reconstruction on **c** using poles from **a**:
.. code:: python
c = EMA.Model(frf_matrix, frequency_array, lower=50, upper=10000, pol_order_high=60)
H, A = c.get_constants(whose_poles=a)
|DOI|
.. _documentation: https://sdypy-ema.readthedocs.io/en/latest/
.. |DOI| image:: https://zenodo.org/badge/DOI/10.5281/zenodo.4016671.svg?
:target: https://doi.org/10.5281/zenodo.4016671
.. _sdypy: https://github.com/sdypy/sdypy
.. _pyEMA: https://github.com/ladisk/pyEMA
.. _pyUFF: https://pypi.org/project/pyuff/
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