Essays about: "Fault Diagnosis"

Showing result 11 - 15 of 83 essays containing the words Fault Diagnosis.

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

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

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

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

    Abstract : 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. READ MORE

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

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

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

    Abstract : 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. READ MORE

  5. 14. Model-Based Fault Diagnosis of an Electrical Low-Voltage Grid

    University essay from Linköpings universitet/Fordonssystem

    Author : Johan Lindström; [2021]
    Keywords : fault; diagnosis; low-voltage; grid; model-based;

    Abstract : Reliable access to power is essential for modern society’s fundamental functions. It is necessary that faults and abnormalities in low-voltage grids can easily be detected and diagnosed. A fault in a grid can be a consequence of several causes, including internal damage, technical errors, malfunctioning electricity meters and electricity theft. READ MORE

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

    University essay from Linköpings universitet/Fordonssystem

    Author : Björn Kleman; Henrik Lindgren; [2021]
    Keywords : 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;

    Abstract : 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. READ MORE