Definition of non-stationary index for time-series
ï»¿Index of non-stationarity
Obtaining non-stationary index for time-series.
Installing this package
Use pip to install it by:
$ pip install pyNNST
Here is a simple example on how to use the code:
# Import packages import pyNNST import numpy as np # Define a sample signal x T = 20 # Time length of x fs = 400 # Sampling frequency of x dt = 1 / fs # Time between discreete signal values x = np.random.rand(T * fs) # Signal time = np.linspace(0, T - dt, T * fs) # Time vector std = np.std(x, ddof = 1) # Standard deviation of x mean = np.mean(x) # Mean value of x # Class initialization example = pyNNST.nnst(x, nperseg = 100, noverlap = 0, confidence = 95) # Compute the run test for non-stationarity example.idns() outcome = example.get_outcome() # Get the results of the test as a string index = example.get_index() # Get the index of non-stationarity limits = example.get_limits() # Get the limits outside of which the signal is non-stationary
Non-stationarity index in vibration fatigue: Theoretical and experimental research; L. Capponi, M. Cesnik, J. Slavic, F. Cianetti, M. Boltezar; International Journal of Fatigue 104, 221-230 https://www.sciencedirect.com/science/article/abs/pii/S014211231730316X
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