Search for dissertations about: "machine components"

Showing result 1 - 5 of 294 swedish dissertations containing the words machine components.

  2. 1. Physics-Informed Neural Networks and Machine Learning Algorithms for Sustainability Advancements in Power Systems Components

    Author : Federica Bragone; Stefano Markidis; Kateryna Morozovska; Tor Laneryd; Michele Luvisotto; Matthias Ehrhardt; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Physics-Informed Neural Networks; Machine Learning; Data-Driven Methods; Circular Economy; Power Systems Components; Sustainability; Cellulose Nanofibrils; Fysikinformerade Neurala Nätverk; Maskininlärning; Datadrivna Metoder; Cirkulär Ekonomi; Kraftsystemets Komponenter; Hållbarhet; Cellulosananofibriller; Datalogi; Computer Science;

    Abstract : A power system consists of several critical components necessary for providing electricity from the producers to the consumers. Monitoring the lifetime of power system components becomes vital since they are subjected to electrical currents and high temperatures, which affect their ageing. READ MORE

  4. 2. Enhancing Machine Failure Detection with Artificial Intelligence and sound Analysis

    Author : Thanh Tran; Jan Lundgren; Sebastian Bader; Domenico Capriglione; Mittuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Failure Detection; Machine Learning; Deep Learning; Sound Signal Processing; Audio Augmentation;

    Abstract : The detection of damage or abnormal behavior in machines is critical in industry, as it allows faulty components to be detected and repaired as early as possible, reducing downtime and minimizing operating and personnel costs. However, manual detection of machine fault sounds is economically inefficient and labor-intensive. READ MORE

  5. 3. Machine Learning Survival Models : Performance and Explainability

    Author : Abdallah Alabdallah; Mattias Ohlsson; Thorsteinn Rögnvaldsson; Sepideh Pashami; Erik Frisk; Högskolan i Halmstad; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Survival Analysis; Explainable Artificial Intelligence; Survival Patterns; Counterfactual Explanations; Evaluation Metrics; Concordance Index;

    Abstract : Survival analysis is an essential statistics and machine learning field in various critical applications like medical research and predictive maintenance. In these domains understanding models' predictions is paramount. READ MORE

  6. 4. Application of machine learning in systems biology

    Author : Gang Li; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; uncertainty; Machine learning; genome-scale modelling; deep transfer learning; systems biology; regression;

    Abstract : Biological systems are composed of a large number of molecular components. Understanding their behavior as a result of the interactions between the individual components is one of the aims of systems biology. READ MORE

  7. 5. Washing Machine Design Optimization Based on Dynamics Modeling

    Author : Thomas Nygårds; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Experiments; Multiobjective Optimization; Modeling; Vibration dynamics; Washing machine; Suspensions; Semi-active control.; Automatic balancing;

    Abstract : The spinning process in a washing machine is a source of undesired vibrations and noise and may cause discomfort both to the user as well as for the machine itself due to vibrations which have impact on system lifetime, reliability of operation and capacity.The aim of this thesis is to develop mathematical and computational models of a washing machine of modern type and use these models for dynamics analysis and in optimization routines to make improvements of the machine mechanical design. READ MORE