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Blar i NTNU Open på forfatter "Kulia, Geir"

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    • Identification of EEG-based signature produced by visual exposure to the primary colors RGB 

      Emaus, Trond Hübertz; Bjørge, Lars-Erik Notevarp (Master thesis, 2017)
      In this thesis we have presented results for experiments regarding identification of electroencephalograph (EEG) signatures produced by the visual exposure of primary colors i.e. red, green and blue (RGB) to the subject. ...
    • Investigation of distortions in microgrids 

      Kulia, Geir (Master thesis, 2016)
      This thesis presents a validation study based on data analysis aimed at identifying the cause of atypical behavior observed in a microgrid's data. The data of a stand-alone PV microgrid in Bhutan is analyzed. The analysis ...
    • On wind Turbine failure detection from measurements of phase currents: a permutation entropy approach 

      Molinas Cabrera, Maria Marta; Kulia, Geir; Kumar Ram, Sumit (Research report, 2016)
      This article presents the applicability of Permutation Entropy based complexity measure of a time series for detection of fault in wind turbines. A set of electrical data from one faulty and one ...
    • Towards a real-time measurement platform for microgrids in isolated communities 

      Kulia, Geir; Molinas Cabrera, Maria Marta; Lundheim, Lars Magne; Larsen, Bjørn B. (Journal article; Peer reviewed, 2016)
      This paper describes a platform for obtaining and analyzing real-time measurements in Microgrids. A key building block in this platform is the Empirical Mode Decomposition (EMD) used to analyze the electrical voltage and ...
    • Understanding Instantaneous frequency detection: A discussion of Hilbert-Huang Transform versus Wavelet Transform 

      Bueno-Lopez, Maximiliano; Molinas Cabrera, Maria Marta; Kulia, Geir (Chapter, 2017)
      Nonlinear and/or nonstationary properties have been observed in measurements coming from microgrids in modern power systems and biological systems. Generally, signals from these two domains are analyzed separately although ...

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