Search for dissertations about: "Production engineering, machine learning"

Showing result 1 - 5 of 49 swedish dissertations containing the words Production engineering, machine learning.

  2. 1. Learning-based Control for 4D Printing and Soft Robotics

    Author : Qinglei Ji; Lei Feng; Lihui Wang; Xi Vincent Wang; Yong Chen; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; 3D Printing; 4D Printing; Soft Robots; Machine Learning; Reinforcement Learning; Control; Production Engineering; Industriell produktion;

    Abstract : Exploiting novel sensors and actuators made of flexible and smart materials becomes a new trend in robotics research. The studies on the design, production, and control of the new type of robots motivate the research fields of soft robots and 4D printed robots. READ MORE

  4. 2. Machine learning for building energy system analysis

    Author : Fan Zhang; Johan Håkansson; Chris Bales; Stefan Byttner; Högskolan Dalarna; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; district heating; machine learning; deep learning; HVAC; neural networks;

    Abstract : Buildings account for approximately 40% of the global energy, and Heating, Ventilation, and Air Conditioning (HVAC) contributes to a large proportion of building energy consumption. Two main negative characteristics that contribute to performance degradation and energy waste in an HVAC system are inappropriate control strategies and faults. READ MORE

  5. 3. System Evaluation and Learning in Evolvable Production Systems : Preliminary considerations and research directions

    Author : Pedro Neves; Mauro Onori; Luis Ribeiro; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Machine Learning; Evolvable Production Systems; SRA - Production; SRA - Produktion;

    Abstract : Dynamicity and unpredictability related to markets is strongly hardening companies’ mission to follow them and satisfy customer needs mainly due to the lack of adequate engineering mechanisms. These effects are felt more intensively in markets where low volumes and high customisation are needed since this requires constant changes in systems that can range from simple setups to total line re-configuration and re-programing. READ MORE

  6. 4. On Reinforcement Learning and Digital Twins for Intelligent Automation

    Author : Constantin Cronrath; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Digital Twins; Intelligent Automation; Reinforcement Learning; manufacturing;

    Abstract : Current trends, such as the fourth industrial revolution and sustainable manufacturing, enable and necessitate manufacturing automation to become more intelligent to meet ever new design requirements in terms of flexibility, speed, quality, and cost. Two distinct research streams towards intelligent manufacturing exist in the scientific literature: the model-based digital twin approach and the data-driven learning approach. READ MORE

  7. 5. Towards Real-World Federated Learning: Empirical Studies in the Domain of Embedded Systems

    Author : Hongyi Zhang; Chalmers tekniska högskola; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Machine learning; Software engineering; Federated Learning;

    Abstract : Context: Artificial intelligence (AI) has led a new phase of technical revolution and industrial development around the world since the twenty-first century, revolutionizing the way of production. Artificial intelligence (AI), an emerging information technology, is thriving, and AI application technologies are gaining traction, particularly in professional services such as healthcare, education, finance, security, etc. READ MORE