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Relevant bibliographies by topics / Electrical machine theory / Dissertations / Theses

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Dissertations / Theses on the topic 'Electrical machine theory'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Kockelbergh, David. "The origins of student misunderstanding of undergraduate electrical machine theory." Thesis, Loughborough University, 2014. https://dspace.lboro.ac.uk/2134/16072.

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This thesis is concerned with student understanding of key concepts in electrical engineering teaching within higher education. Anecdotal evidence suggests that many students struggle to understand threshold concepts and therefore encounter difficulties in learning theoretical models which are underpinned by such theoretical concepts. This research utilised a mixed methods approach to investigate the factors that influence student understanding of key theoretical concepts within electrical engineering. The initial study used a questionnaire to evaluate student understanding of concepts which w

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2

Liu, Jiuling. "A finite state machine synthesizer." PDXScholar, 1989. https://pdxscholar.library.pdx.edu/open_access_etds/3912.

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This thesis presents a Finite State Machine (FSM) Synthesizer developed at Portland State University. The synthesizer starts from a high level behavioral description, in which no states are specified, and generates the lower level FSM descriptions for simulation and physical layout generation.

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3

Yedidia, Adam. "A relatively small turing machine whose behavior is independent of set theory." Thesis, Massachusetts Institute of Technology, 2015. http://hdl.handle.net/1721.1/100680.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 79-80).<br>Since the definition of the Busy Beaver function by Radó in 1962, an interesting open question has been what the smallest value of n for which BB(n) is independent of ZFC. Is this n approximately 10, or closer to 1,000,000, or is it unfathomably large? In this thesis, I show that it is at most 340,943 by presenting an explicit description of a 340,943-state Turing machine Z with

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4

Wang, Sinong. "Coded Computation for Speeding up Distributed Machine Learning." The Ohio State University, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1555336880521062.

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5

Zhao, William Yue. "A new approach to state minimization of finite state machines." PDXScholar, 1989. https://pdxscholar.library.pdx.edu/open_access_etds/3951.

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A complete program to ease the task of large scale Finite State Machine (FSM) minimization presented in this thesis: TDFM (Two Dimensional FSM Minimizer), is a part of the DIADES system. DIADES is an Automatic Design Synthesis System whose development in the Department of Electrical Engineering at Portland State University is supported in part by a research grant from SHARP Microelectronics Technology.

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6

Elkourdi, Mohamed. "Machine Learning, Game Theory Algorithms, and Medium Access Protocols for 5G and Internet-of-Thing (IoT) Networks." Scholar Commons, 2019. https://scholarcommons.usf.edu/etd/7782.

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In the first part of this dissertation, a novel medium access protocol for the Internet of Thing (IoT) networks is introduced. The Internet of things (IoT), which is the network of physical devices embedded with sensors, actuators, and connectivity, is being accelerated into the mainstream by the emergence of 5G wireless networking. This work presents an uncoordinated non-orthogonal random-access protocol, which is an enhancement to the recently introduced slotted ALOHA- NOMA (SAN) protocol that provides high throughput, while being matched to the low complexity requirements and the sporadic t

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7

Lindström, Mattias. "Bildanalys inom Machine Vision : Nyquists samplingsteorem vid digital fotografering." Thesis, Mittuniversitetet, Avdelningen för elektronikkonstruktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-31469.

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Inom Machine Vision är det av stor vikt att kameran har möjlighet att detektera de detaljer som eftersöks. Aliasing är ett problem inom all digital fotografering och beror på att kamerans upplösning är för låg i förhållande till de detaljer den försöker fånga. Det här arbetet analyserar kamerans begränsningar och orsaken till dessa. En enkel kamerarigg som används till försök inom Machine Vision konstrueras om från grunden för bättre kontroll och upplösning och en ny styrning skapas till denna efter beställarens specifikationer. Ett testmönster för ISO 12233:2000 fotograferas därefter i denna

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8

Mukherjee, Srijita. "Formation Control of Multi-Agent Systems." Thesis, University of North Texas, 2017. https://digital.library.unt.edu/ark:/67531/metadc1011784/.

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Formation control is a classical problem and has been a prime topic of interest among the scientific community in the past few years. Although a vast amount of literature exists in this field, there are still many open questions that require an in-depth understanding and a new perspective. This thesis contributes towards exploring the wide dimensions of formation control and implementing a formation control scheme for a group of multi-agent systems. These systems are autonomous in nature and are represented by double integrated dynamics. It is assumed that the agents are connected in an undire

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9

Merrell, Paul Clark. "Structure from Motion Using Optical Flow Probability Distributions." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd764.pdf.

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10

Acuna, Virgilio. "Using Unmanned Aerial Vehicles for Wireless Localization in Search and Rescue." FIU Digital Commons, 2017. https://digitalcommons.fiu.edu/etd/3646.

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This thesis presents how unmanned aerial vehicles (UAVs) can successfully assist in search and rescue (SAR) operations using wireless localization. The zone-grid to partition to capture/detect WiFi probe requests follows the concepts found in Search Theory Method. The UAV has attached a sensor, e.g., WiFi sniffer, to capture/detect the WiFi probes from victims or lost people’s smartphones. Applying the Random-Forest based machine learning algorithm, an estimation of the user's location is determined with a 81.8% accuracy. UAV technology has shown limitations in the navigational performance and

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11

Wang, Suning. "Classical and logic based control theory for finite state machines." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70243.

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This thesis formulates the state estimation and control problem for partially observed finite machines in terms of classical and logic-based approaches. First, in Part I, we present a set operation based formulation of an observer (tree) and a dynamic programming based controller. Then we provide the results of computational complexity of building and running such classical observer and controllers. In Part II, we introduce a notion of a logic-based dynamical system, a new paradigm for controlling finite machines. In particular, we give concepts of a logic-based dynamic observer, and a logic-b

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12

O'Leary, Beth Andrews. "Analysis of high-speed rotating systems using Timoshenko beam theory in conjunction with the transfer matrix method /." Online version of thesis, 1989. http://hdl.handle.net/1850/10608.

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13

Bevan, Graeme Rhys. "A practical investigation into the measurement of forces on the stator teeth of electrical machines." Thesis, Cape Peninsula University of Technology, 2013. http://hdl.handle.net/20.500.11838/1079.

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Submitted to the Department of Electrical Engineering in Fulfilment of the Requirements for the Magister Technologiae in Electrical Engineering at the CAPE PENINSULA UNIVERSITY OF TECHNOLOGY SUPERVISOR: E. VOSS NOVEMBER 2013<br>Radial and peripheral displacement of stator teeth in electrical machines is known to be the cause of undesired vibration which leads to noise. This thesis serves to investigate the possibility of physically measuring the radial displacement of stator teeth caused by electromagnetic forces which, to the author’s knowledge, has not yet been achieved. A simplified practic

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14

Weiss, Katherine. "Violence in Treadwell’s Machinal: Women, Electrotherapy and the Electric Chair." Digital Commons @ East Tennessee State University, 2009. https://dc.etsu.edu/etsu-works/2269.

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15

Kopeloff, Leonardo. "Modern control theory application in mill main drive design." Thesis, Virginia Polytechnic Institute and State University, 1985. http://hdl.handle.net/10919/50037.

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Modern Control Theory is applied to analyze an existing aluminum mill drive, which was originally designed by Classical Methods. The system is studied with Optimal Control and z-transform zero-pole locus tools. The results and also the original design are compared with the performance of simulation. The models are built with the transition matrix and iterative procedures. Conclusions about the appropriated design methods and improvements to the control scheme result from the investigation.<br>Master of Science<br>incomplete_metadata

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16

Sireci, Alexander. "DC-DC Converter Control System for the Energy Harvesting from Exercise Machines System." DigitalCommons@CalPoly, 2017. https://digitalcommons.calpoly.edu/theses/1747.

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Current exercise machines create resistance to motion and dissipate energy as heat. Some companies create ways to harness this energy, but not cost-effectively. The Energy Harvesting from Exercise Machines (EHFEM) project reduces the cost of harnessing the renewable energy. The system architecture includes the elliptical exercise machines outputting power to DC-DC converters, which then connects to the microinverters. All microinverter outputs tie together and then connect to the grid. The control system, placed around the DC-DC converters, quickly detects changes in current, and limits the cu

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17

Kar, Tapas Ranjan. "Fuzzy logic-based fault diagnosis for mining equipment failures." Thesis, Virginia Tech, 1989. http://hdl.handle.net/10919/43090.

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Equipment availability is the most significant factor in the productivity of many mines and processing plants. Machine breakdowns are not only expensive in terms of production losses but also important in meeting production schedules. In a complex piece of machinery like a shearer or a powered support system in a highly automated longwall face, such breakdowns can be due to one of the large number of possible faults. A large proportion, up to 80% of the down time is spent in locating the fault. For this reason, a need for an automated diagnostic method to assist the operator in the diagn

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18

Postali, Felipe Barreiro. "Estratégia de controle de máquinas elétricas utilizando a teoria não-falseada." Universidade Tecnológica Federal do Paraná, 2012. http://repositorio.utfpr.edu.br/jspui/handle/1/777.

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Este trabalho apresenta uma estratégia alternativa aos métodos tradicionais de controle de velocidade de motores de introdução e motores de corrente contínua utilizando a Teoria Não-Faseada.A adaptação dos ganhos do Controlador PI Não-Falseado em tempo real baseia-se desta forma, a necessidade de um modelo de planta para a sintonia do controlador.Resultados comparativos com controladores proporcionais integrais são apresentados para validar a proposta.<br>This work presents an alternative strategy to tradicional speed control methods for three-phase induction motor and direct current motor by

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19

França, Alex Pereira. "Controle preditivo não-linear baseado em multimodelos aplicado ao motor de indução." [s.n.], 2010. http://repositorio.unicamp.br/jspui/handle/REPOSIP/258912.

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Orientador: Edson Bim<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Elétrica e de Computação<br>Made available in DSpace on 2018-08-16T22:20:50Z (GMT). No. of bitstreams: 1 Franca_AlexPereira_M.pdf: 3058764 bytes, checksum: beb5e6bdbba91505ff0ef14262e6be5c (MD5) Previous issue date: 2010<br>Resumo: Uma abordagem preditiva global-local para o controle de um motor de indução é apresentado nesta tese. O conceito de controle preditivo diz respeito a uma classe de controladores que tem se desenvolvido muito no âmbito do controle de sistemas de conversão de

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20

Mota, Daniel dos Santos. "Técnicas de ajuste de estabilizadores de sistemas de potência." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3143/tde-24012010-103221/.

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Esta dissertação apresenta técnicas de ajuste de estabilizadores de sistemas de potência (PSS) com um enfoque nos desafios encontrados por um engenheiro durante o comissionamento do sistema de excitação estático de uma unidade geradora de médio porte. Os métodos de ajuste tratados neste trabalho são principalmente os aplicáveis aos estabilizadores do tipo PSS2B. É dada prioridade às situações nas quais o engenheiro não dispõe de dados detalhados do modelo do gerador e do sistema de potência. Simulações computacionais nos domínios do tempo e da frequência são empregadas com objetivos didáticos

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21

Magnuson, Markus Amalthea. "Frihet, jämlikhet, cyborgskap : Drömmen om den mänskligare människan." Thesis, Stockholms universitet, Filmvetenskapliga institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-179043.

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This thesis explores the metaphoric cyborg concept, based on the classic essay "A Cyborg Manifesto" by Donna J. Haraway, through Claudia Springer and her analysis of cyborgs in popular culture, and in relation to Judith Butler and queer theory. By extending the cyborg term to include contemporary forms of cyborgship such as our internet lives and personas, I advocate discussion of philosophical matters concering man/machine-compounds today rather than tomorrow. The main purpose is to restore the cyborg concept as a meaningful analytic and philosophic tool for studying man/machine-relations, in

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22

Rastgoufard, Samin. "Applications of Artificial Intelligence in Power Systems." ScholarWorks@UNO, 2018. https://scholarworks.uno.edu/td/2487.

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Artificial intelligence tools, which are fast, robust and adaptive can overcome the drawbacks of traditional solutions for several power systems problems. In this work, applications of AI techniques have been studied for solving two important problems in power systems. The first problem is static security evaluation (SSE). The objective of SSE is to identify the contingencies in planning and operations of power systems. Numerical conventional solutions are time-consuming, computationally expensive, and are not suitable for online applications. SSE may be considered as a binary-classification,

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23

Silva, Lyvia Regina Biagi. "Classificação de falhas em maquinas eletricas usando redes neurais, modelos wavelet e medidas de informação." Universidade Tecnológica Federal do Paraná, 2014. http://repositorio.utfpr.edu.br/jspui/handle/1/1201.

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CAPES; CNPq<br>Este trabalho apresenta uma proposta de metodologia para detecção e classificação de falhas em motores de indução trifásicos ligados diretamente à rede elétrica. O método proposto é baseado na análise dos sinais de corrente do estator, com e sem a presença de falhas nos rolamentos, estator e rotor. Um dos efeitos desses tipos de falhas é o aparecimento de componentes de frequência específicas, relacionados à velocidade de rotação da máquina. Os sinais foram analisados usando a decomposição wavelet-packet, que permite a avaliação dos sinais em bandas de frequência de tamanhos var

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24

Ribeiro, Manassés. "Deep learning methods for detecting anomalies in videos: theoretical and methodological contributions." Universidade Tecnológica Federal do Paraná, 2018. http://repositorio.utfpr.edu.br/jspui/handle/1/3172.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)<br>A detecção de anomalias em vídeos de vigilância é um tema de pesquisa recorrente em visão computacional. Os métodos de aprendizagem profunda têm alcançado o estado da arte para o reconhecimento de padrões em imagens e o Autocodificador Convolucional (ACC) é uma das abordagens mais utilizadas por sua capacidade em capturar as estruturas 2D dos objetos. Neste trabalho, a detecção de anomalias se refere ao problema de encontrar padrões em vídeos que não pertencem a um conceito normal esperado. Com o objetivo de classificar ano

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25

Chvatík, Štěpán. "Asynchronní motor s vnějším rotorem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2018. http://www.nusl.cz/ntk/nusl-377075.

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26

Lin, Shang-Chih, and 林上智. "Study on Fuzzy Theory-Based Fault Diagnosis and Condition Monitoring Systems for Rotating Electrical Machine." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/839j53.

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博士<br>國立臺灣科技大學<br>電機工程系<br>104<br>Thanks to the rapid development of science and technology, artificial intelligence has been widely used in various industries, the fourth industrial revolution has quietly come, the rotating electrical machine is the mother of industry, plays a pivotal role in the power grid and plants, and predict maintenance strategy is now of concern important operation and maintenance issues, therefore, put forward a fuzzy theory-based fault diagnosis and condition monitoring systems for rotating electrical machine, which will help to enhance the reliability of the unit st

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27

Paisley, John William. "Machine Learning with Dirichlet and Beta Process Priors: Theory and Applications." Diss., 2010. http://hdl.handle.net/10161/2458.

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<p>Bayesian nonparametric methods are useful for modeling data without having to define the complexity of the entire model <italic>a priori</italic>, but rather allowing for this complexity to be determined by the data. Two problems considered in this dissertation are the number of components in a mixture model, and the number of factors in a latent factor model, for which the Dirichlet process and the beta process are the two respective Bayesian nonparametric priors selected for handling these issues.</p> <p>The flexibility of Bayesian nonparametric priors arises from the prior's defini

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28

"Kinematic and Dynamical Analysis Techniques for Human Movement Analysis from Portable Sensing Devices." Doctoral diss., 2016. http://hdl.handle.net/2286/R.I.38446.

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abstract: Today's world is seeing a rapid technological advancement in various fields, having access to faster computers and better sensing devices. With such advancements, the task of recognizing human activities has been acknowledged as an important problem, with a wide range of applications such as surveillance, health monitoring and animation. Traditional approaches to dynamical modeling have included linear and nonlinear methods with their respective drawbacks. An alternative idea I propose is the use of descriptors of the shape of the dynamical attractor as a feature representation for q

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29

Ajit, Kumar *. "Design Of Robust Power System Damping Controllers For Interconnected Power Systems." Thesis, 2010. http://etd.iisc.ernet.in/handle/2005/1653.

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Small signal oscillation has been always a major concern in the operation of power systems. In a generator, the electromechanical coupling between the rotor and the rest of the system causes it to behave in a manner similar to a spring mass damper system, which exhibits an oscillatory behaviour around the equilibrium state, following any disturbance, such as sudden change in loads, ﬂuctuations in the output of turbine and faults etc. The use of fast acting high gain AVRs and evolution of large interconnected power systems with transfer of bulk power across weak transmission links have further

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30

Strydom, Johan Tjeerd. "Sensorless control of a synchronous reluctance motor through state estimation." Thesis, 2012. http://hdl.handle.net/10210/6469.

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M.Ing.<br>The synchronous reluctance machine is a reasonably unknown type of machine. Recent developments have made it possible to deliver more power than an induction machine of similar size. It must, however, be noted that to accomplish this, the rotor profile design becomes complex and also expensive to manufacture. The aim of this project is to explore the possibility of controlling a synchronous reluctance machine `sensorlessly' (with no speed or position feedback sensors). The specific synchronous reluctance machine was made from an induction machine by machining a profile into the rotor

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31

(6630578), Yellamraju Tarun. "n-TARP: A Random Projection based Method for Supervised and Unsupervised Machine Learning in High-dimensions with Application to Educational Data Analysis." Thesis, 2019.

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Analyzing the structure of a dataset is a challenging problem in high-dimensions as the volume of the space increases at an exponential rate and typically, data becomes sparse in this high-dimensional space. This poses a significant challenge to machine learning methods which rely on exploiting structures underlying data to make meaningful inferences. This dissertation proposes the <i>n</i>-TARP method as a building block for high-dimensional data analysis, in both supervised and unsupervised scenarios.<div><br></div><div>The basic element, <i>n</i>-TARP, consists of a random projection framew

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32

Lee, Zhen-Zhang, and 李振彰. "The Control of Power Stabilization for Electric Discharge Machining Machines Based on the PWM Theory." Thesis, 1998. http://ndltd.ncl.edu.tw/handle/23707866915920175902.

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碩士<br>逢甲大學<br>自動控制工程研究所<br>86<br>For improving accuracy of EDM, we make power stabilization control to EDM. For this purpose, we choose efficient buck power regulator as basic current construct, and improving the construct to high capacity power regulator. In the current, we use IGBT as a switch, and use PWM theory as a control theory. In this paper, we suggest a power regulator which is high capacity, low cost, and about 5% power stable rate.

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33

Pilarski, Patrick Michael. "Computational analysis of wide-angle light scattering from single cells." Phd thesis, 2009. http://hdl.handle.net/10048/774.

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Thesis (Ph.D.)--University of Alberta, 2009.<br>Title from PDF file main screen (viewed on Apr. 1, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Doctor of Philosophy, Department of Electrical and Computer Engineering, University of Alberta. Includes bibliographical references.

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(8771429), Ashley S. Dale. "3D OBJECT DETECTION USING VIRTUAL ENVIRONMENT ASSISTED DEEP NETWORK TRAINING." Thesis, 2021.

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<div> <div> <div> <p>An RGBZ synthetic dataset consisting of five object classes in a variety of virtual environments and orientations was combined with a small sample of real-world image data and used to train the Mask R-CNN (MR-CNN) architecture in a variety of configurations. When the MR-CNN architecture was initialized with MS COCO weights and the heads were trained with a mix of synthetic data and real world data, F1 scores improved in four of the five classes: The average maximum F1-score of all classes and all epochs for the networks trained with synthetic data is F1∗ = 0.91, compared t

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