Sökning: "performance based codes"

Visar resultat 1 - 5 av 80 uppsatser innehållade orden performance based codes.

  1. 1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

    Master-uppsats, Institutionen för tillämpad informationsteknologi

    Författare :Mathias Forsman; Yihan Yang; [2024-03-05]
    Nyckelord :Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

    Sammanfattning : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. LÄS MER

  3. 2. Estimating Photovoltaic capacity using customs data : Model development of the tool NJORD and photovoltaics' characterization and impact on the African continent

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Byggteknik och byggd miljö

    Författare :Albin Åbrink; [2023]
    Nyckelord :Photovoltaic; Trade analysis; Development Goals; Africa;

    Sammanfattning : Photovoltaics (PV) is one of the fastest growing power sources in the world in the last twenty years, being the most installed power source in almost half of the world's countries in 2020. Despite this, precise tracking of installations of PV does not exist in most of the world's markets due to PVs unique scalability and modularity. LÄS MER

  4. 3. Regression with Bayesian Confidence Propagating Neural Networks

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

    Författare :Raghav Rajendran Bongole; [2023]
    Nyckelord :Machine Learning; Neural Networks; Brain-like computing; Bayesian Confidence Propagating Neural Networks; Maskininlärning; neurala nätverk; hjärnliknande datorer; Bayesian Förtroendespridande neurala nätverk;

    Sammanfattning : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. LÄS MER

  5. 4. Analysis to reduce ice-related production losses for wind turbines

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Jhason Paran De La Cruz; [2023]
    Nyckelord :Wind power; cold climate; wind turbine icing; ice losses; ice protection systems; blade heating; de-icing; analytical dashboard; data visualization.; Vindkraft; kalla klimat; nedisning av vindkraftverk; isförluster; isskyddssystem; uppvärmning av blad; avisning; analysverktyg; datavisualisering.;

    Sammanfattning : In the rapidly growing wind energy market, regions with cold climates are currently in the spotlight owing to their abundance of wind resources. However, the operation of wind turbines in cold climate conditions is challenged by serious icing problems. LÄS MER

  7. 5. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

    Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysik

    Författare :Wenhan Zhou; [2023]
    Nyckelord :Transuranus; AI; Nuclear Fuel Rods;

    Sammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER