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Published in 2019 at "Experiments in Fluids"
DOI: 10.1007/s00348-019-2775-5
Abstract: We introduce and demonstrate the bivariate two-dimensional empirical mode decomposition (bivariate 2D-EMD) for the decomposition of a turbulent instantaneous velocity field to separate spatial large-scale organized motion from random turbulent fluctuations. To validate this approach,…
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Keywords:
velocity field;
velocity;
decomposition;
empirical mode ... See more keywords
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Published in 2017 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-016-1024-0
Abstract: Adaptive methods of signal analysis have proved a very useful tool for analysis of non-stationary signals. This is due to the ability of these methods to adapt to the local structures of the signals being…
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Keywords:
mode decomposition;
frequency;
emd;
empirical mode ... See more keywords
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Published in 2019 at "Applied Acoustics"
DOI: 10.1016/j.apacoust.2019.07.030
Abstract: Abstract In this study, an effective approach was presented for the decomposition and reconstitution of ultrasonic signals and the creation of a prediction model to characterize the average grain size of materials via a nondestructive…
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Keywords:
decomposition;
grain size;
empirical mode;
mode decomposition ... See more keywords
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Published in 2018 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2016.10.014
Abstract: This study proposes a novel method for estimation of reference evapotranspiration (ETo) by accounting the time scale of variability using the Multivariate Empirical Mode Decomposition (MEMD). First the ETo and the four predictor variables such…
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Keywords:
empirical mode;
reference evapotranspiration;
mode;
mode decomposition ... See more keywords
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Published in 2017 at "Computer methods and programs in biomedicine"
DOI: 10.1016/j.cmpb.2016.10.025
Abstract: BACKGROUND AND OBJECTIVE There is always heart sound (HS) signal interfering during the recording of lung sound (LS) signals. This obscures the features of LS signals and creates confusion on pathological states, if any, of…
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Keywords:
mode;
algorithm;
method;
based empirical ... See more keywords
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Published in 2017 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2017.07.010
Abstract: We present a data driven approach to classify ictal (epileptic seizure) and non-ictal EEG signals using the multivariate empirical mode decomposition (MEMD) algorithm. MEMD is a multivariate extension of empirical mode decomposition (EMD), which is…
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Keywords:
eeg signals;
empirical mode;
decomposition;
mode decomposition ... See more keywords
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Published in 2021 at "Electric Power Systems Research"
DOI: 10.1016/j.epsr.2021.107542
Abstract: Abstract Owning to extensively enhancement of renewable energy resources in the distribution grids, the employment of such sources is also associated with various issues such as the islanding problem. In this paper, an effective method…
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Keywords:
detection;
islanding detection;
method;
micro grids ... See more keywords
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Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.1735
Abstract: Abstract The intermittency and fluctuations of wind power cause problems in integration of wind energy systems into the grid. To smooth the fluctuations of wind power, a control scheme based on fuzzy empirical mode decomposition…
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Keywords:
empirical mode;
energy;
power;
wind power ... See more keywords
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Published in 2018 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2018.01.005
Abstract: Abstract The surface topography of workpieces has an important influence on the final performances of the product. The digital filtering is a critical step to analyze the surface topography of workpieces. Bi-dimensional empirical mode decomposition…
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Keywords:
topography;
surface;
dimensional empirical;
empirical mode ... See more keywords
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Published in 2018 at "Journal of Sound and Vibration"
DOI: 10.1016/j.jsv.2018.03.018
Abstract: Abstract Complementary ensemble empirical mode decomposition (CEEMD) has been developed for the mode-mixing problem in Empirical Mode Decomposition (EMD) method. Compared to the ensemble empirical mode decomposition (EEMD), the CEEMD method reduces residue noise in…
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Keywords:
mode;
evaluation index;
ensemble empirical;
empirical mode ... See more keywords
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Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2018.11.026
Abstract: Abstract This paper investigates the detection of the internal leakage in the hydraulic inlet guide vane (IGV) system at the gas turbine compressor. Based on methods of ensemble empirical mode decomposition (EEMD) and Hilbert transform…
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Keywords:
empirical mode;
internal leakage;
mode decomposition;
leakage ... See more keywords