Essays about: "Remaining Useful Life Prediction"

Showing result 1 - 5 of 7 essays containing the words Remaining Useful Life Prediction.

  1. 1. Second Life Applications for Degraded EV Batteries : Evaluating Benefits Basedon Remaining Useful Life and Battery Configurations

    University essay from Linköpings universitet/Fordonssystem

    Author : Sandberg Elis; [2023]
    Keywords : ;

    Abstract : This thesis explores the potential of second-life electric vehicle batteries, which are no longer suitable for electro-mobility, to provide energy storage solutions. The study iden- tifies two potential applications for second-life batteries: charging stations and residential PV energy storage systems. READ MORE

  3. 2. 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

  4. 3. Supervised Algorithm for Predictive Maintenance

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

    Author : Haida Lu; [2023]
    Keywords : Long short-term memory; Predictive maintenance; Remaining useful life; Embedded Artificial Intelligence; Långt korttidsminne; förebyggande underhåll; återstående livslängd; inbyggd artificiell intelligens;

    Abstract : Predictive maintenance plays a crucial role in preventing unexpected equipment failures and maintaining assets in good operating conditions in various systems. One such scenario where predictive maintenance has been widely used is in battery management systems for electronic vehicles based on lithium batteries, where the risk of failure can be reduced by predicting the remaining useful life of the lithium battery. READ MORE

  5. 4. From Log-Data to Regressive Machine Learning Models for Predictive Maintenance : A case study

    University essay from Uppsala universitet/Industriell teknik

    Author : Lucas Christiaan van Dam; [2022]
    Keywords : Predictive maintenance; Log-data; Remaining useful lifetime; Regression models; Machine learning; Component degradation;

    Abstract : There are three ways to deal with component failure: reactive maintenance, preventive maintenance, and predictive maintenance. Reactive maintenance is to repair only once something breaks. Preventive maintenance is to repair before it breaks, independent of actual wear. READ MORE

  6. 5. Machinery Health Indicator Construction using Multi-objective Genetic Algorithm Optimization of a Feed-forward Neural Network based on Distance

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

    Author : Jacob Nyman; [2021]
    Keywords : Prognostics; Health Indicator Construction; Remaining Useful Life Prediction; Multi-objective Optimization; Distance; Prognostik; Hälsoindikatorkonstruktion; Återstående Livslängd; Multiobjektiv Optimering; Avstånd;

    Abstract : Assessment of machine health and prediction of future failures are critical for maintenance decisions. Many of the existing methods use unsupervised techniques to construct health indicators by measuring the disparity between the current state and either the healthy or the faulty states of the system. READ MORE