Sr. No | Power Quality Analysis Techniques | Advantages | Disadvantages |
1 | Short Time Fourier Transform | It’s simple in implementation; it is used in stationary signals successfully whose properties do not change in time. | It has a fixed window width limitation which does not follow signals dynamics appropriately therefore it’s not suitable for non stationary signals. |
2 | Hilbert Huang Transform | Phase and instantaneous amplitude can be simply assessed due it generation of quadrature signals. It’s very useful in distorted waveforms to extraction of features. | It used to works only in narrow band conditions which is very limited. |
3 | S-Transform | It’s very flexible it can easily convertible in 2-D frequency translation domain from time domain and even to Fourier frequency domain. | The reliance of frequency window width on central frequency generates inaccurate measurements of harmonics. It also does not gratify real-time necessities subject to block processing manner. |
4 | Wavelet Transform | It is suitable in an excellent time-frequency resolution it also provides in time as well as frequency the local representation. | It’s anguishing due to the picket fence effect and spectral leakage and also sturdily affected due to presence of noises in the signal. |
5 | Gabor-Wigner Transform | It has good time-frequency resolution as well as high signal to noise ratio. | The time computational span is on high complexity as it’s directly associated to sampling frequency. As well as it has a very limited availability at high frequencies. |