Morlet Wave Modal Identification.
Project description
MWModal - Morlet-Wave Modal Identification
This is the Python implementation of the Morlet-Wave Modal identification method which is based on the [1].
This package is created within the MSCA IF project NOSTRADAMUS.
Simple example
A simple example how to identify modal parameters using Morlet-Wave Modal package:
import mwmodal as mwm
import numpy as np
# set time domain
fs = 5000 # sampling frequency [Hz]
T = 2 # signal duration [s]
time = np.arange(T*fs) / fs # time vector
# generate a free response of a SDOF damped mechanical system
w_d = 2*np.pi * 100 # damped natural frequency
d = 0.01 # damping ratio
x = 1 # amplitude
phi = 0.3 # phase
response = x * np.exp(-d * w_d / np.sqrt(1 - d**2) * time) * np.cos(w_d * time - phi)
# set MorletWaveModal object identifier
identifier = mwm.MorletWaveModal(free_response=response, fs=fs)
# set initial natural frequency, estimate damping ratio and identify modal parameters
identifier.identify_modal_parameters(omega_estimated=w_n, damping_estimated=0.005)
References
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file MorletWaveModal-0.6.3.tar.gz.
File metadata
- Download URL: MorletWaveModal-0.6.3.tar.gz
- Upload date:
- Size: 7.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
7e3d92c657975d94ecb68787a62916eeb07edc132c34b1dc857b6542b5110803
|
|
| MD5 |
04dc07017a5db0840bfdbafe66eb3b91
|
|
| BLAKE2b-256 |
45bf0a458afaf12bc5e40922b0549eb4ba586a7565fb608a8e014fa685883f8d
|
File details
Details for the file MorletWaveModal-0.6.3-py3-none-any.whl.
File metadata
- Download URL: MorletWaveModal-0.6.3-py3-none-any.whl
- Upload date:
- Size: 7.6 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
03936e4ab70601c7df2a363b9f090f04ecc2d320fb4dd4d4b819b10e57aa23c3
|
|
| MD5 |
fedf86cf4c92cd4db23451b9ef1d7bcd
|
|
| BLAKE2b-256 |
a22de92f583e66e02f4c322db20d2757027f1cfdbd453bba313c316a94cfa426
|