Sökning: "Industry machine"

Visar resultat 1 - 5 av 967 uppsatser innehållade orden Industry machine.

  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. Var kommer intresset till hyggesfritt skogsbruk ifrån?

    Kandidat-uppsats, SLU/School for Forest Management

    Författare :Andreas Bohman; Eskil Calmered Tersmeden; [2024]
    Nyckelord :skogsvärden; intervjustudie; enkätundersökning;

    Sammanfattning : Hyggesfritt skogsbruk är något som mer och mer ses som ett intressant alternativ för skogsägare. Det diskuteras hyggesfritt skogsbruk i olika debattforum, på nyheter och i politiska sammanhang. Även hos de väletablerade skogsföretagen pågår diskussioner om hyggesfritt. LÄS MER

  4. 3. Data analysis for predictive maintenance and potential challenges associated with the technology integration of steel industry machines.

    Master-uppsats, Högskolan i Gävle/Elektronik

    Författare :Pradip Nath; [2024]
    Nyckelord :Data Science; Data processing; Industrial Manufacturing; System Identification; Predictive maintenance; Conditional monitoring; Statistical Analysis; Signal processing; Hydraulic System; IoT; Sustainable Maintenance; Data vetenskap; Databehandling; Industriell tillverkning; System identifiering; Prediktivt underhåll; Tillståndsövervakning; Statistisk analys; Signal behandling;

    Sammanfattning : The recharge is the focus of data analysis of the different situations with the integration of the system and development of the two-stage 2/2 proportional cartridge valve for the steel industry machine. Using the statistical analysis technique to visualize the valve signal data behavior identify the accuracy of the machine data and apply the statistical feature extracting model using classification and clustering algorithms of real-time data analysis for the manufacturing. LÄS MER

  5. 4. Stock Price Predictions for FAANG Companies Using Machine Learning Models

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Hugo Dahlquist; Fredrik Fourong; [2024]
    Nyckelord :Random Forest; Artificial Neural Networks; Stock prices; Predictions.; Mathematics and Statistics;

    Sammanfattning : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. LÄS MER

  7. 5. Implementing End-to-End MLOps for Enhanced Steel Production

    M1-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Marcus Westin; Jacob Berggren; [2024]
    Nyckelord :MLOps; Azure ML; Machine Learning; Computer Science; Microsoft Azure; MLOps; Azure ML; Maskininlärning; Datavetenskap; Microsoft Azure;

    Sammanfattning : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). LÄS MER