Sökning: "Diagnostic Trouble Codes"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden Diagnostic Trouble 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. Evaluation of Neural Networks for Predictive Maintenance : A Volvo Penta Study

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Andreas Nordberg; [2021]
    Nyckelord :Predictive maintenance; Machine learning; Neural networks; Early detection; LSTM networks; Feedforward networks;

    Sammanfattning : As part of Volvo Penta's initiative to further the development of predictive maintenance in their field test environments, this thesis compares neural networks in an effort to predict the occurrence of three common diagnostics trouble codes using field test data. To quantify the neural networks' performances for comparison a number of evaluation metrics were used. LÄS MER

  4. 3. Diagnostics of Intermittent Errors

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Tillämpad materialvetenskap

    Författare :Niklas Lindborg; [2021]
    Nyckelord :Intermittent errors; diagnostics; knowledge gap; fault isolation; Intermittenta fel; diagnostik; kunskapslucka; felisolering;

    Sammanfattning : Intermittent faults/errors are infamous for being among the most challenging errors to diagnose. It is estimated that more than 80% of the total number of errors in real systems are intermittent errors. Previous research on intermittent errors suggests that they are the prelude to permanent faults. LÄS MER

  5. 4. Transformer decoder as a method to predict diagnostic trouble codes in heavy commercial vehicles

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

    Författare :Haris Poljo; [2021]
    Nyckelord :Diagnostic Trouble Codes; Deep Learning; Machine Learning; Neural Networks; Transformer Decoder; Felkoder; Djupinlärning; Maskininlärning; Neurala Nätverk; Transformer Decoder;

    Sammanfattning : Diagnostic trouble codes (DTC) have traditionally been used by mechanics to figure out what is wrong with a vehicle. A vehicle generates a DTC when a specific condition in the vehicle is met. This condition has been defined by an engineer and represents some fault that has happened. LÄS MER

  7. 5. Multi-class Supervised Classification Techniques for High-dimensional Data: Applications to Vehicle Maintenance at Scania

    Master-uppsats, KTH/Matematisk statistik

    Författare :Daniel Berlin; [2017]
    Nyckelord :Statistical learning; Machine learning; Neural networks; Deep learning; Supervised;

    Sammanfattning : In vehicle repairs, many times locating the cause of error could turn out more time consuming than the reparation itself. Hence a systematic way to accurately predict a fault causing part would constitute a valuable tool especially for errors difficult to diagnose. LÄS MER