Essays about: "Prognostics"

Showing result 1 - 5 of 20 essays containing the word Prognostics.

  1. 1. Remaining Useful Life Prediction of Power Electronic Devices Using Recurrent Neural Networks

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

    Author : Congrui Cai; [2023]
    Keywords : Power electronics; Prognostics and health management; Remaining useful life; Recurrent neural network; Kraftelektronik; Prognostik och hälsoledning; Återstående livslängd; Återkommande neurala nätverk;

    Abstract : The growing demand for sustainable technology has led to an increased application of power electronics. As these devices are often exposed to harsh conditions, their reliability is a primary concern for both manufacturers and users. READ MORE

  3. 2. Convolutional-LSTM for IGBTs Prognostics and Age Monitoring : Designing a neural network for predicting aging precursors in power devices

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

    Author : Matteo Santoro; [2023]
    Keywords : Neural Networks; Igbt; Prognostics; Age Monitoring; Neurala Nätverk; Igbt; Prognostik; Övervakning av Ålder;

    Abstract : In recent years, extensive research efforts have been dedicated to the field of prognostics and age-related degradation, with major focus on higher complexity devices. However, relatively little attention has been given to power devices, such as Insulated Bipolar Gate Transistors (IGBTs), despite their critical role in high power electronic applications. READ MORE

  4. 3. Prognostics for Condition Based Maintenance of Electrical Control Units Using On-Board Sensors and Machine Learning

    University essay from Linköpings universitet/Fordonssystem

    Author : Gabriel Fredriksson; [2022]
    Keywords : machine learning; random forest; random survival forest; condition based maintenance; cbm; reliability; solder joint failure; thermomechanical cycling; ECU; lifetime prediction; data-driven; statistics; BGA; PCBA; field quality; maintenance; truck; bus; vehicle;

    Abstract : In this thesis it has been studied how operational and workshop data can be used to improve the handling of field quality (FQ) issues for electronic units. This was done by analysing how failure rates can be predicted, how failure mechanisms can be detected and how data-based lifetime models could be developed. READ MORE

  5. 4. 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

  6. 5. 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