91 lines
2.4 KiB
Python
91 lines
2.4 KiB
Python
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import numpy as np
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import csv
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import matplotlib.pyplot as plt
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def voltage_sag(signal, level):
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x=np.linspace(4*np.pi, 10*np.pi, 300)
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y=level*np.sin(x)
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signal[200:500]=y
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return signal
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def voltage_distortion(signal, level):
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noise=np.random.normal(loc=0, scale=level, size=np.shape(signal))
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signal+=noise
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#plt.plot(signal)
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#plt.show()
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return signal
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def voltage_impulse(signal, level):
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noise=np.random.normal(loc=0, scale=level, size=np.shape(signal))
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signal[400:420]+=noise[400:420]
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#plt.plot(signal)
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#plt.show()
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return signal
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if __name__ == '__main__':
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x = np.linspace(0 * np.pi, 20* np.pi, 1000)
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y = np.sin(x)
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signal=y
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signal_all=[]
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'''for i in range(200):
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levels=np.random.uniform(0.5, 0.9)
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#print(levels)
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signals=voltage_sag(signal, level=levels)
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#plt.plot(signals)
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#plt.show()
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signal_all.append(np.copy(signals))
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signal_all=np.array(signal_all, dtype=float).reshape(-1,1000)
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with open('sag.csv', 'w') as f:
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writer = csv.writer(f)
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writer.writerows(signal_all)'''
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'''signal_all=[]
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for i in range(200):
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levels=np.random.uniform(0.0, 0.1)
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#print(levels)
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signals=voltage_distortion(signal, level=levels)
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#plt.plot(signals)
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#plt.show()
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signal_all.append(np.copy(signals))
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signal_all=np.array(signal_all, dtype=float).reshape(-1,1000)
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with open('distortion.csv', 'w') as f:
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writer = csv.writer(f)
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writer.writerows(signal_all)'''
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'''signal_all=[]
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for i in range(200):
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levels=np.random.uniform(0.5, 0.8)
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#print(levels)
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signals=voltage_impulse(signal, level=levels)
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#plt.plot(signals)
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#plt.show()
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signal_all.append(np.copy(signals))
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signal_all=np.array(signal_all, dtype=float).reshape(-1,1000)
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with open('impulse.csv', 'w') as f:
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writer = csv.writer(f)
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writer.writerows(signal_all)'''
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signal_all = []
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for i in range(200):
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levels = np.random.uniform(0.0, 0.01)
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# print(levels)
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signals = voltage_distortion(signal, level=levels)
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# plt.plot(signals)
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# plt.show()
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signal_all.append(np.copy(signals))
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signal_all = np.array(signal_all, dtype=float).reshape(-1, 1000)
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with open('normal.csv', 'w') as f:
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writer = csv.writer(f)
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writer.writerows(signal_all)
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