I am working on the analytic signal concept for observing the frequency variation in the faulted phase current waveform in MATLAB/Simulink model. In MATLAB/Simulink model, I have used analytic signal block and hilbert's transform method to calculate the real and imaginary components of the faulted phase current. After that I have used the data for real and imaginary components of the faulted phase current to calculate the magnitude, phase, and instantaneous frequency. When I plotted the curve between the instantaneous frequency variation vs time for the faulted phase current, I observed that there are high frequency spikes in the curve. What can be the reason and what is this phenomena called ?
Siddharth Kamila The high-frequency spikes in the graph of instantaneous frequency versus time might be caused by noise or interference in the faulty phase current signal. This can happen if the signal is being monitored in a noisy environment or if it is being interfered with by other signals.
Applying a low pass filter to the signal before applying the analytic signal block and Hilbert transform is one technique to limit the influence of noise on the instantaneous frequency computation. This can assist in smoothing out high-frequency spikes and reducing their influence on the computed instantaneous frequency.
This is commonly known as "noise contamination" or "interference." It might be difficult to remove all noise and interference from a signal, but there are several strategies that can be employed to reduce their influence on the measurement.
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