Essays about: "tillförlitlighet förutsägelse"

Showing result 1 - 5 of 6 essays containing the words tillförlitlighet förutsägelse.

  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. Development of a Software Reliability Prediction Method for Onboard European Train Control System

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

    Author : Guillaume Pierre Longrais; [2021]
    Keywords : Machine Learning; Software Reliability Growth Prediction; Linear Regression; Artificial Neural Network; Multi-Layer Perceptron; Imperialist Competitive Algorithm; Long Short-Term Memory Network; Convolutional Neural Network; Maskininlärning; förutsägelse av tillväxten av programvarans tillförlitlighet; linjär regression; artificiellt neuralt nätverk; flerskikts-perceptron; imperialistisk konkurrensalgoritm; nätverk med långt korttidsminne; konvolutionellt neuralt nätverk;

    Abstract : Software prediction is a complex area as there are no accurate models to represent reliability throughout the use of software, unlike hardware reliability. In the context of the software reliability of on-board train systems, ensuring good software reliability over time is all the more critical given the current density of rail traffic and the risk of accidents resulting from a software malfunction. READ MORE

  4. 3. Flood Prediction System Using IoT and Artificial Neural Networks with Edge Computing

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

    Author : Eric Samikwa; [2020]
    Keywords : Internet of things; Flood prediction; Artificial neural network; Edge computing; Long short-term memory.; Sakernas Internet; Översvämning av översvämningar; Artificiella neuronnät; Kant datoranvändning; Långt kortvarigt minne;

    Abstract : Flood disasters affect millions of people across the world by causing severe loss of life and colossal damage to property. Internet of things (IoT) has been applied in areas such as flood prediction, flood monitoring, flood detection, etc. READ MORE

  5. 4. Study of The Effect of Convective Heat Transfer on Cooling of Overhead Line Conductors Based on Wind Tunnel Experimental Results

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

    Author : Wadih Naim; [2018]
    Keywords : heat balance; overhead conductor; convective cooling; dynamic line rating DLR ; värmebalans; luftledare; konvektiv kylning; dynamisk linjestorlek DLR ;

    Abstract : It is important to keep an overhead power line within rated operating conditions. Thus,an accurate prediction of the conductor's thermal and electrical behavior leads to an increasein reliability and eciency. Under DLR operation, the current rating is adjustedbased on ambient weather and solar conditions to allow for dynamic line loading. READ MORE

  6. 5. The accuracy of the LSTM model for predicting the S&P 500 index and the difference between prediction and backtesting

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

    Author : War Ahmed; Mehrdad Bahador; [2018]
    Keywords : ;

    Abstract : In this paper the question of the accuracy of the LSTM algorithm for predicting stock prices is being researched. The LSTM algorithm is a form of deep learning algorithm. The algorithm takes in a set of data as inputs and finds a pattern to dissolve an output. READ MORE