pyLIA 0.3

Module for Lock-In Analysis

Digital lock-in analysis

Perform digital lock-in analysis

Installing this package

Use pip to install it by:

$ pip install pyLIA

Simple examples

Here is a simple example on how to use the code:

import pyLIA
import numpy as np
import matplotlib.pyplot as plt

data = np.load('camera.npy') ## Thermal acquisition
sampling_freq = 400  ## Sampling freqency of the thermal video [Hz]
load_freq = 55  ## Load freqency of the excitation test [Hz]

mag, ph = pyLIA.LIA(data,sampling_freq,load_freq)

plt.figure()
plt.imshow(mag)
cbar = plt.colorbar()
cbar.set_label('[unit]')

plt.figure()
plt.imshow(ph)
cbar = plt.colorbar()
cbar.set_label('[deg]')

Reference:

Thermoelasticity-based modal damage identification; L. Capponi, J. Slavič, G. Rossi, M. Boltežar; International Journal of Fatigue, 105661 <https://www.sciencedirect.com/science/article/pii/S0142112320301924>