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Visar resultat 1 - 5 av 17 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Towards a Data-Driven Approach to Ground-Fault Location in Distribution Power System using Artificial Neural Network

    Master-uppsats, Linnéuniversitetet/Institutionen för fysik och elektroteknik (IFE)

    Författare :Antoine Dupuis; [2021]
    Nyckelord :Ground-Fault Location; Distribution power System; Artificial Neural Network; Machine Learning; Distributed Generation; Wavelet Transform;

    Sammanfattning : Motivated by the need for less polluting energy production, the recent increase in renewable electricity production is reshaping classical power systems. Initially unidirectional and constant power flow becomes multi-directional and dynamic. As one of the many consequences, classical power system fault location methods might become outdated. LÄS MER

  3. 2. Locating faults in boundary wires for autonomous lawn mowers : An investigative study on methods used to locate faults in underground, low-voltage cables with focus on implementing Time Domain Reflectometer (TDR)

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Mustafa Alhaj Kasem; Daniel Andersson; [2021]
    Nyckelord :Autonomous lawn mower; electrical fault locating; final thesis work; impedance; Time Domain Reflectometry.;

    Sammanfattning : Purpose:The purpose of this thesis was to identify a useful solution to find the location of a broken boundary wire. By useful we mean that the solution should be inexpensive, user friendly and accurate. LÄS MER

  4. 3. Vinkelavläsning med vision-teknologi för att finna samband med felorsak

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Kim Torstensson; Peter Sävhammar; [2021]
    Nyckelord :;

    Sammanfattning : Prodma i Mariestad tillverkar flertalet vitvaror, bland dessa är torkskåpet en viktig produkt. Tillverkningsprocessen inbegriper stansning, bockning, pulverlackering och montering på plats. Produktionstempot är högt och det finns inte stor tolerans för brister inom viktiga processer. LÄS MER

  5. 4. DEVELOPMENT OF RISK INFORMED METHODS FOR ESTIMATING RADIATION RELEASE FROM CABLE FIRES AT HIGH ENERGY PHYSICS FACILITIES

    Master-uppsats, Lunds universitet/Avdelningen för Brandteknik

    Författare :Daniel Funk; [2020]
    Nyckelord :Fire Safety Engineering; CERN; Fire-induced Radiological release; particle accelerator; Fire Protection; Fire Risk Analysis; Technology and Engineering;

    Sammanfattning : CERN operates the Large Hadron Collider (LHC), the world’s largest and most powerful particle accelerator. The LHC was built to advance the state of knowledge in particle physics by increasing the energy of colliding particles to the TeV range. LÄS MER

  7. 5. Component importance indices and failure prevention using outage data in distribution systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Sindhu Kanya Nalini Ramakrishna; [2020]
    Nyckelord :outage; fault; distribution system; component importance indices; outage prediction.;

    Sammanfattning : Interruptions in power supply are inevitable due to faults in power system distribution network. These interruptions are not only expensive for the customers but also for the distribution system operator in the form of penalties. Increase in system redundancy or the use of component-specific sensors can help in reduction of interruptions. LÄS MER