Sökning: "Data-driven Transition"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden Data-driven Transition.

  1. 1. ANOMALY DETECTION FOR INDUSTRIAL APPLICATIONS USING COMMODITY HARDWARE

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :John Moberg; Jonathan Widén; [2023]
    Nyckelord :Computer Vision; Anomaly Detection; Single Board Computer; Embedded systems;

    Sammanfattning : As the Automotive industry is heavily regulated from a quality point of view, excellence in pro-duction is obligatory. Due to the fact that removing human error from humans is impossible, new solutions must be found. LÄS MER

  3. 2. Implications of Analytics and Visualization of Torque Tightening Process Data on Decision Making : An automotive perspective

    Master-uppsats, KTH/Produktionsutveckling

    Författare :Nikhil Thomas; [2023]
    Nyckelord :Torque tightening; Digitalization; Data Analytics; Visualization; Momentåtdragning; Digitalisering; Dataanalys; Visualisering;

    Sammanfattning : In recent years, there is an increased focus on integrating digital technologies in industrial processes, also termed ”Industry 4.0”. Out of the many challenges for the transition, one is to understand how to find useful insights from data collected over large periods of time, predominantly in industrial IT systems. LÄS MER

  4. 3. Working towards Circular Economy using Blockchain of Things : An exploratory thesis; The Challenges of implementing Blockchain of Things for a Circular Economy

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Författare :Marcus Engert; [2023]
    Nyckelord :Internet of Things; Blockchain; Circular Economy; adoption; challenges; Internet of Things; Blockchain; Cirkulär Ekonomi; adoption; barriärer;

    Sammanfattning : Background: The internet of things (IoT) is transforming industries by enabling data-driven decision-making. IoT play a crucial role in the transition to a Circular Economy of businesses. However, the intrinsic features of the IoT, such as centralization, poor interoperability, and privacy and security vulnerabilities, pose several challenges. LÄS MER

  5. 4. Fault Isolation and Identification in Autonomous Hauler Steering System

    Master-uppsats, Linköpings universitet/Fluida och mekatroniska system

    Författare :Tobias Nyberg; Eric Lundell; [2022]
    Nyckelord :Data-driven fault detection; neural networks; Feed-Forward; Long Short-Term Memory; Hydraulics; Hauler;

    Sammanfattning : During the past years an increased focus on the development of autonomous solutions has resulted in driverless vehicles being used in numerous industries. Volvo Construction Equipment is currently developing the TA15, an autonomous hauler part of a larger transport solution. LÄS MER

  7. 5. Weakly-Supervised Diagnosis with Attention Models

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

    Författare :Zaoshi Ying; [2022]
    Nyckelord :;

    Sammanfattning : With the rapid development of data-driven solutions, a high-quality dataset with fine labels can well tackle fault diagnosis problems. However, in industry assets, the quality of the dataset depends much on the experience and capability of the annotation engineer. Therefore, strong labels are usually hard and expensive to acquire. LÄS MER