EMD-Based Feature Extraction for Power Quality Disturbance Classification Using Moments
AbstractIn electric power systems, there are always power quality disturbances (PQDs). Usually, noise contamination interferes with their detection and classification. Common methods perform frequency or time-frequency analyses on the power distribution signal for detecting and classifying a limited number of PQDs with some difficulties at low signal-to-noise ratio (SNR). In this regard, recently proposed methodologies for PQD detection estimate several parameters and apply distinct signal processing techniques to improve the detection of PQD. In this work, a novel methodology that merges empirical mode decomposition (EMD), the moments of a random variable, and an artificial neural network (ANN) is proposed for detecting and classifying different PQD. The proposed method estimates skewness, kurtosis, and Shannon entropy from the EMD of one-phase voltage/current signal. Then, an ANN is in charge of classifying the input signal into one of nine different classes for PQD, receiving these parameters as inputs. The effectiveness of the proposed method was verified through computer simulations and experimentation with real data. Obtained results demonstrate its high effectiveness reaching an outstanding 100% of accuracy in detecting and classifying all treated PQD through a few number of parameters, outperforming most of previously proposed approaches. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Lopez-Ramirez, M.; Ledesma-Carrillo, L.; Cabal-Yepez, E.; Rodriguez-Donate, C.; Miranda-Vidales, H.; Garcia-Perez, A. EMD-Based Feature Extraction for Power Quality Disturbance Classification Using Moments. Energies 2016, 9, 565.
Lopez-Ramirez M, Ledesma-Carrillo L, Cabal-Yepez E, Rodriguez-Donate C, Miranda-Vidales H, Garcia-Perez A. EMD-Based Feature Extraction for Power Quality Disturbance Classification Using Moments. Energies. 2016; 9(7):565.Chicago/Turabian Style
Lopez-Ramirez, Misael; Ledesma-Carrillo, Luis; Cabal-Yepez, Eduardo; Rodriguez-Donate, Carlos; Miranda-Vidales, Homero; Garcia-Perez, Arturo. 2016. "EMD-Based Feature Extraction for Power Quality Disturbance Classification Using Moments." Energies 9, no. 7: 565.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.