Sökning: "fault prognostics"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden fault prognostics.

  1. 1. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network

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

    Författare :Diego Andres Moreno Salinas; [2022]
    Nyckelord :Predictive maintenance; Fault Diagnosis; Anomaly Detection; Deep Learning; Machine Learning; Induction Motors; Prediktivt underhåll; feldiagnostik; upptäckt av avvikelser; djup inlärning; maskininlärning; induktionsmotorer;

    Sammanfattning : With the fast evolution of the Industry 4.0, the increased use of sensors and the rapid development of the Internet of Things (IoT), and the adoption of artificial intelligence methods, smart factories can automate their processes to vastly improve their efficiency and production quality. LÄS MER

  3. 2. A Systematic Literature Review on Meta Learning for Predictive Maintenance in Industry 4.0

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Ahmet Fisenkci; [2022]
    Nyckelord :Meta-learning; Few-Shot; Predictive Maintenance; Industry 4.0; Fault detection; Fault Prognostics; Fault Diagnosis;

    Sammanfattning : Recent refinements in Industry 4.0 and Machine Learning demonstrate the positive effects of using deep learning models for intelligent maintenance. The primary benefit of Deep Learning (DL) is its capability to extract attributes and make fast, accurate, and automated predictions without supervision. LÄS MER

  4. 3. Decision-making algorithm for self-driving vehicles Using diagnostics and prognostics for shortterm fault handling

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

    Författare :Erik Branzén; [2021]
    Nyckelord :Decision-making; diagnostics; prognostics; fault scenario; symptom; självkörande fordon; beslutsfattande; diagnos; prognos; felscenario; symptom;

    Sammanfattning : A problem in self-driving vehicle (SDV) development is replacing human intuition in the diagnostic process. Some fundamental interactions between driver, service personnel, and system developer are hard to replace by onboard systems and processes. LÄS MER

  5. 4. Diagnostics and Prognostics of safety critical systems using machine learning, time and frequency domain analysis

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Författare :Pratik Purkayastha; [2019]
    Nyckelord :Diagnostics; Prognostics; PHM; predictive maintenance;

    Sammanfattning : The prime focus of this thesis was to develop a robust Prognostic and Diagnostic Health Management module (PDHM), capable of detecting faults, classifying faults, fault progression tracking and estimating time to failure. Priority was to obtain as much accuracy as possible with the bare minimum amount of sensors as possible. LÄS MER

  7. 5. PMSM diagnostics and prognostics - Evaluation of an on-line method based on high frequency current response

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Industriell elektroteknik och automation

    Författare :Julius Björngreen; [2016]
    Nyckelord :Technology and Engineering;

    Sammanfattning : This thesis covers and evaluates a stator insulation fault detection method for Permanent Magnetised Synchronous Machines (PMSMs). The method could be implemented on-line and is based on using the power converter in an electric or hybrid vehicle to measure the State of Health (SoH) of the stator insulation of the PMSM. LÄS MER