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This paper demonstrates the effectiveness of S-transform in detecting and classifying multiple/composite power quality (PQ) events compared to the discrete wavelet transform for the accuracy of tracking the amplitude and frequency changes. Five different types of multiple/composite disturbance signals are considered, in this paper, including harmonics with voltage sag, harmonics with voltage swell,...
The paper proposes improved S-transform (IST) to detect and classify power quality (PQ) disturbances with time-domain analysis. First, the theory of S-transform (ST) is introduced. To enhance the analytic power of ST in different non-stationary signal processing, IST is achieved by adding an adjustable factor to the Gaussian window function of the normal ST. The adjusted factor changes the velocity...
This paper shows the application of S-transform in identifying the voltage disturbances such as sag, interruption, swell and harmonics. S-transform is suitable for the analysis of power quality disturbances under noisy condition as it has excellent time-frequency resolution characteristics and has the ability to detect the disturbance correctly. Various voltage disturbances are generated as per IEEE...
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