Sökning: "Fuel Detection"

Visar resultat 1 - 5 av 49 uppsatser innehållade orden Fuel Detection.

  1. 1. Brobanor och dess egenskaper för kommande höghastighetsjärnväg : Brobanors användning och egenskaper i samband med höghastighetsjärnväg

    Kandidat-uppsats, KTH/Byggteknik och design

    Författare :Haris Zubanovic; Hajk Saakyan; [2023]
    Nyckelord :Bridge lanes; cost; high-speed railway; maintenance; precast bridge elements; Brobanor; höghastighetsjärnväg; kostnad; underhåll; prefabricerade broelement;

    Sammanfattning : SammanfattningSvensk järnväg har aldrig varit mer belastad och trafikerad än idag, och värre kommer det att bli. Det har inte pågått några större investeringar i svensk järnväg sen 1990-talet, effekterna av den strategin börjar bli alltmer uppenbar. LÄS MER

  3. 2. Analysing rapeseed leaves from naturally infested fields in Skaraborg to detect Sclerotinia sclerotiorum using Nanopore sequencing

    Magister-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Muhammad Siddiq; [2023]
    Nyckelord :;

    Sammanfattning : Rapeseed is a versatile crop with significant economic value as fuel, food, and feed, contributing to farmers' income. However, its cultivation is often hindered by the devastating plant pathogen Sclerotinia sclerotiorum, which infects numerous plant species, including rapeseed. LÄS MER

  4. 3. Fault Detection in PV System using Machine Learning Technique

    Master-uppsats, Högskolan Dalarna/Mikrodataanalys

    Författare :Adhyapadi Apoorva Bhat; Jomin Koothenparambil Joy; [2023]
    Nyckelord :Machine learning; Fault Detection; Cluster; Regression model; PV System; Prediction; Solar Power; Renewable Energy;

    Sammanfattning : With the steady and rapid reliance on solar power as a viable alternative to traditional fuel-based energy, maintenance of solar panels is becoming an unavoidable issue for both producers and consumers. Machine learning techniques are useful in detecting solar panel faults and their life span. LÄS MER

  5. 4. Predictive Study of Flame status inside a combustor of a gas turbine using binary classification

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sreenand Sasikumar; [2022]
    Nyckelord :Binary Classification; Random Forest; SVM; XGBoost; Logistic Regression; Extra-trees; GasTurbine; Flame Detection;

    Sammanfattning : Quick and accurate detection of flame inside a gas turbine is very crucial to mitigaterisks in power generation. Failure of flame detection increases downtime and maintenancecosts and on rare occasions it may cause explosions due to buildup of incombustible fuel inside the combustion chamber. LÄS MER

  7. 5. Adaptive detection of anomalies in fuel system of Saab 39 Gripen using machine learning : Investigating methods to improve anomaly detection of selected signals in the fuel system of Gripen E.

    Master-uppsats, Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakulteten

    Författare :Ahlgren Bergström Olof; [2022]
    Nyckelord :Machine Learning; Adaptive anomaly detection; Modeling; Fuel system; Saab Gripen;

    Sammanfattning : The process of flying fighter jets naturally comes with tough environments and manoeu-vres where temperatures, pressures and forces all have a large impact on the aircraft. Part degeneration and general wear and tear greatly affects functionalities of the aircraft, and it is of importance to carefully monitor the well being of an aircraft in order to avoid catastrophic accidents. LÄS MER