Blar i NTNU Open på forfatter "Molinas, Marta Maria Cabrera"
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A Unified Real-Time Feature Extraction and Classification Process for a BCI Based on Empirical Mode Decomposition and Support Vector Machine
Worren, Fredrik; Molvær, Joar (Master thesis, 2016)This thesis has studied and implemented a data-driven process combining EEG feature extraction based on empirical mode decomposition (EMD) and classification using a support vector machine (SVM). The experimental paradigm ... -
Alternative Solutions to Thyristors in Three Phase Rectifier Bridges - With Inductive Load
Gården, Martin Fald (Master thesis, 2015)Thyristor bridge rectifiers are probably the rectifier topology that are most used in applications where control of the DC voltage is needed. In addition to the fact that thyristors beginning to get yesterdays technology, they ... -
Analysis of Acoustic Guided Wave Signal Transmission by Use of Empirical Mode Decomposition and Low Amplitude Mode Mixing Separation for Optimal Time-of-Flight Detection
Husebø, Caroline Hatlebrekke (Master thesis, 2018)The use of ultrasonic sensor technology is rapidly growing in a wide range of industrial applications from medical diagnostic systems to process and safety measurement in the oil and gas industry. A typical trend in ... -
Automatic Onset Detection of Rapid Eye Movements in REM Sleep EEG Data
Soler Guevara, Andres Felipe; Drange, Ole; Furuki, Junya; Abe, Takashi; Molinas, Marta Maria Cabrera (Peer reviewed; Journal article, 2021)Rapid eye movements (REM) during sleep is a descriptor of the REM sleep stage. Parameters associated with REM sleep, such as REM sleep numbers, REM density, REM latency, and pre-REM negativity have been associated with the ... -
Deep Learning for the Classification of EEG Time-Frequency Representations
Eltvik, Audun (Master thesis, 2018)This thesis is a report on the implementation and evaluation of a new method classifying EEG signals. The method involves applying either the Short-time Fourier Transform (STFT), Continuous Wavelet Transform (CWT) or ... -
Design and Implementation of a Monitoring System for Decision Support in a Micro-business Based on a Solar Energy Microgrid in Rural Colombia
Forseth, Ingvild; Aabrek, Vegar (Master thesis, 2018)Many regions of the world still do not have access to reliable energy sources. In recent years, there has been a push towards solving this energy problem with renewable clean energy. Introducing new energy solutions into ... -
Design av et utviklingsverktøy for microgrids - En fleksibel og effektiv tilnærming
Hillestad, Gard (Master thesis, 2016)Teknologi som angår solcellepaneler, biomasse kraftver, batterier og microgrids utvikles stadig mot mer kosteffektive og funksjonelle løsninger. Men planlegging av de nødvendige innkjøp for å kunne ta i bruk denne teknologien ... -
Empirical Mode Decomposition for Improved Noise Filtering and Classification of Two-Dimensional Data
Holwech, Joachim Blaafjell (Master thesis, 2018)This thesis studies the use of Empirical Mode Decomposition (EMD) applied to two dimensional data and the application of this method to filter noise from images. Mode Mixing Separation (MMS) is presented and implemented ... -
Exploration of Nonlinearities in a Lithium Ion Battery Cell Model and their impact on Particle Filters and Nonlinear Kalman Filters for State of Charge Estimation
Roaldsnes, Kristian Eggereide (Master thesis, 2018)Lithium-ion batteries are currently being used for a wide variety of applications across different industries due to their many advantages. However, lithium batteries are also sensitive to their operating conditions, and ... -
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. ... -
Methodology for Detecting and Interpreting Instantaneous Frequencies in Stand-alone Microgrids - An Application of the Hilbert Huang Transform on Electrical Networks
Hillenbrand, Benedikt (Master thesis, 2017)Following the tile, this thesis seeks to find a methodology for detecting and interpreting instantaneous frequencies in stand-alone microgrids. This is not a novel exercise for scientists to do but it bears potential to ... -
Methods for Identification of Instantaneous Frequencies for Application in Isolated Microgrid
Jondal Helle, Haakon (Master thesis, 2017)THE introduction of new methods for production and distribution of electrical energy has increased the attention related to problems with power quality and the presence of time-varying frequencies. It has been reported ... -
Modeling and Analysis of SOGI-PLL/FLL-based Synchronization Units: Stability Impacts of Different Frequency-feedback Paths
Zhang, Chen; Føyen, Sjur; Suul, Jon Are Wold; Molinas, Marta Maria Cabrera (Peer reviewed; Journal article, 2020)— Second-order Generalized Integrator (SOGI)-based quadrature-signal-generator (QSG) together with either a phaselocked-loop (PLL) or a frequency-locked-loop (FLL) constitute two types of typical synchronization units ... -
Non-Intrusive Load Monitoring with Norwegian Smart Meters
Horne, Hallgeir (Master thesis, 2018)The smart meters to be installed in Norway by 2019 is thought to open up for a more efficient and flexible power grid and have so far cost the Norwegian distribution system operators(DSO) well over 10 Billion NOK, an ... -
Position Control in Inductive Power Transfer
Holmstrøm, Kristian (Master thesis, 2018)The objective of this thesis has been to investigate the use of position control in inductive power transfer and how it compares to the state-of-the-art methods for inductive power transfer control. In this thesis we have: ... -
Range Anxiety Alleviation for Electric Vehicles using a Dual Extended Kalman Filter with a Nonlinear Battery Model
Kvaale, Bjørn (Master thesis, 2017)The purpose of this thesis was to find a solution to combat range anxiety in electric vehicles (EV). Range anxiety was defined as the fear that the driver will not reach their destination and is a major barrier to increase ... -
Real Time Impedance identification of Li-Polymer Battery with Kalman Filter
Gjengedal, Ørjan (Master thesis, 2017)In a study of a new and an aged lithium-polymer battery cell, a joint Unscented Kalman Filter coupled with a non-linear equivalent circuit battery model formed the basis for on-line identification of the battery impedance ... -
Real-Time Harmonics Tracking for Stability Assessment of a Microgrid
Broen, Anders Kjeka (Master thesis, 2016)The advancement in power electronics technology and in particular the use of nonlinear loads in microgrids where such devices are connected into distributional power grid can cause instabilities. Stability assessment of ... -
Searching for Unique Neural Descriptors of Primary Colours in EEG Signals: A Classification Study
Ludvigsen, Sara Lund; Buøen, Emma Horn; Soler Guevara, Andres Felipe; Molinas, Marta Maria Cabrera (Peer reviewed; Journal article, 2021)Identifying unique descriptors for primary colours in EEG signals will open the way to Brain-Computer Interface (BCI) systems that can control devices by exposure to primary colours. This study is aimed to identify such ... -
Smoothing of Wind Power Fluctuation with a Fuzzy EMD approach
Grenne, Øyvind Nordal (Master thesis, 2017)This thesis looks at the smoothing of wind power output by using empirical mode decomposition in combination with Fuzzy control. It first makes a review of different storage systems and their usefulness in various applications. ...