Sökning: "Sensor faults"

Visar resultat 6 - 10 av 43 uppsatser innehållade orden Sensor faults.

  1. 6. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

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

    Författare :Ziyou Li; [2023]
    Nyckelord :Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

    Sammanfattning : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. LÄS MER

  2. 7. Airspeed estimation of aircraft using two different models and nonlinear observers

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Alexander Roser; Anton Thunberg; [2023]
    Nyckelord :sensor fusion; flight mechanics; Kalman filter; extended Kalman filter; unscented Kalman filter; pitot tube; airspeed estimation; simulation;

    Sammanfattning : When operating an aircraft, inaccurate measurements can have devastating consequences. For example, when measuring airspeed using a pitot tube, icing effects and other faults can result in erroneous measurements. LÄS MER

  3. 8. Data-driven Fault Detection and Diagnosis inHardware-in-the-loop Environment

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Arya Farhang; [2023]
    Nyckelord :;

    Sammanfattning : The automotive industry has grown rapidly in the previous decades, and with the move toward electrification and driving assistance, the need for faster testing and development is rising.Model-based design(MBD) development cycles partly address the issues by allowing testing to happen before the physical product is created. LÄS MER

  4. 9. FAULT DETECTION IN AIR HANDLING UNIT (AHU) USING MACHINE LEARNING

    Master-uppsats, Högskolan Dalarna/Mikrodataanalys

    Författare :Humphry Takang Bate; Wilkingson Igbinosun; [2022]
    Nyckelord :Fault Detection; AHU; Machine Learning;

    Sammanfattning : Fault in Air Handling Unit (AHU) of the Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings is a challenge that building managements face. These faults cause buildings to waste 15 – 30% of the energy consumed by the AHU. LÄS MER

  5. 10. Smart Alarm- On the performance characteristics of linear, multi-linear and non-linear tensor models for alarm prediction in multi-sensor data.

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Chandraprakash Sahu; Ahamed Buhari; [2022]
    Nyckelord :Machine Learning; Tensor Regression; Deep Learning; Multivariate Time Series;

    Sammanfattning : Information and modern computing technology advancements have led to a rise in the importance of maintenance, particularly in areas where a single components failure could have a significant impact on the overall systems performance. Numerous industries, including Alfa Laval, are operating on conditional-based systems that provide warnings only when a machine fails. LÄS MER