This paper presents a novel approach that combines the adaptive and non-adaptive notch filters, multilayer perceptron neural network, and warped discrete Fourier transform (WDFT) to estimate amplitudes, frequencies and phases of the fundamental and harmonic components in power systems. Simulation results show that only 1.25 cycles of the fundamental component are enough to provide small frequency, phase and amplitude error estimations. ©2004 IEEE.255259Arrillaga, J., Bollen, M.H.J., Watson, N.R., Power quality following deregulation (2000) Proceedings of the IEEE, 88 (2), pp. 246-261. , FebMelhorn, C., McGranaghan, M.F., Interpretation and analysis of power quality measurements (1995) IEEE Trans. on Industry Applications, 31 (6), pp. 1363-1...
The paper presents an adaptive neural network approach for the estimation of harmonic distortions an...
The authors show that the use of high-resolution spectrum estimation methods instead of Fourier-base...
The signal processing technique is one of the principal tools for diagnosing power quality (PQ) issu...
Power quality is becoming increasingly important in power systems. The proliferation of modem power ...
[[abstract]]With the development of technology, the power electronics have widely be used. This woul...
The author shows that the use of high-resolution spectrum estimation methods instead of Fourier-base...
The complexity of the electric power network causes a lot of distortion, such as a decrease in power...
The complexity of the electric power network causes a lot of distortion, such as a decrease in power...
This paper presents a hybrid detection method and classification Technique based on Hilbert-Huang Tr...
This article presents the Hilbert–Huang transform based algorithm for recognizing the single-stage a...
This paper considers the problem of measuring and analysing the frequency and phase angle variations...
The authors show that the use of highresolution spectrum estimation methods instead of Fourier-based...
Now a day‟s power quality (PQ) and power supply related problems have become important problem both ...
This article proposes WT (Wavelet Transform) and an ANN (Artificial Neural Network) based approach ...
In this paper, detection method and classification technique of power quality disturbances is presen...
The paper presents an adaptive neural network approach for the estimation of harmonic distortions an...
The authors show that the use of high-resolution spectrum estimation methods instead of Fourier-base...
The signal processing technique is one of the principal tools for diagnosing power quality (PQ) issu...
Power quality is becoming increasingly important in power systems. The proliferation of modem power ...
[[abstract]]With the development of technology, the power electronics have widely be used. This woul...
The author shows that the use of high-resolution spectrum estimation methods instead of Fourier-base...
The complexity of the electric power network causes a lot of distortion, such as a decrease in power...
The complexity of the electric power network causes a lot of distortion, such as a decrease in power...
This paper presents a hybrid detection method and classification Technique based on Hilbert-Huang Tr...
This article presents the Hilbert–Huang transform based algorithm for recognizing the single-stage a...
This paper considers the problem of measuring and analysing the frequency and phase angle variations...
The authors show that the use of highresolution spectrum estimation methods instead of Fourier-based...
Now a day‟s power quality (PQ) and power supply related problems have become important problem both ...
This article proposes WT (Wavelet Transform) and an ANN (Artificial Neural Network) based approach ...
In this paper, detection method and classification technique of power quality disturbances is presen...
The paper presents an adaptive neural network approach for the estimation of harmonic distortions an...
The authors show that the use of high-resolution spectrum estimation methods instead of Fourier-base...
The signal processing technique is one of the principal tools for diagnosing power quality (PQ) issu...