Sökning: "scania diagnostic system"

Visar resultat 1 - 5 av 21 uppsatser innehållade orden scania diagnostic system.

  1. 1. Evaluation of model-based fault diagnosis combining physical insights and neural networks applied to an exhaust gas treatment system case study

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Björn Kleman; Henrik Lindgren; [2021]
    Nyckelord :model-based; fault diagnosis; neural networks; data-driven; Hybrid; SCR; exhaust gas treatment system; recurrent neural networks; grey-box; heavy duty truck; fault isolation; fault detection; diagnosis; urea; machine learning; Scania; structural model; MSO; residual; Fault Diagnosis Toolbox;

    Sammanfattning : Fault diagnosis can be used to early detect faults in a technical system, which means that workshop service can be planned before a component is fully degraded. Fault diagnosis helps with avoiding downtime, accidents and can be used to reduce emissions for certain applications. LÄS MER

  3. 2. 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

  4. 3. Bayesian belief networks for guidedremote diagnostics and troubleshootingof heavy vehicles

    Master-uppsats, KTH/Maskinkonstruktion (Inst.)

    Författare :MAHBUB HUSSAIN KAMALY; [2017]
    Nyckelord :;

    Sammanfattning : Kostnadreducering och eektivisering av reparationer (t.ex i bilindustrin) har varit malet for forskningen kring guidad diagnostik i snart tvadecennier [ 1], med en onskan till intuitiv felsokning och reparation utan tidigare expert kunskaper. LÄS MER

  5. 4. 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

  7. 5. Evaluating An Interactive Troubleshooting System for Heavy Vehicles with Limited Historical Data

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Khair Ghazie; [2017]
    Nyckelord :;

    Sammanfattning : Today’s trucks are built to be modular in order to fit the customer’s specific needs.This means that no two vehicles are  alike, and that makes it difficult to create universal models for diagnosis. LÄS MER