Sökning: "Industri 4.0"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden Industri 4.0.

1. 1. Applied Machine Learning in Steel Process Engineering : Using Supervised Machine Learning Models to Predict the Electrical Energy Consumption of Electric Arc Furnaces

   Författare :Leo Carlsson; Pär Jönsson; Peter Samuelsson; Mikael Vejdemo-Johansson; Henrik Saxen; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Electric Arc Furnace; Electrical Energy Consumption; Statistical Modelling; Machine Learning; Interpretable Machine Learning; Predictive Modelling; Industry 4.0; Ljusbågsugn; Elenergiförbrukning; Statistisk Modellering; Maskininlärning; Tolkningsbar Maskininlärning; Prediktiv Modellering; Industri 4.0; Teknisk materialvetenskap; Materials Science and Engineering; Metallurgical process science; Metallurgisk processvetenskap;

   Sammanfattning : The steel industry is in constant need of improving its production processes. This is partly due to increasing competition and partly due to environmental concerns. One commonly used method for improving these processes is through the act of modeling. LÄS MER

3. 2. Smart manufacturing for the wooden single-family house industry

   Författare :Alexander Vestin; Kristina Säfsten; Malin Löfving; Tobias Schauerte; Lars Stehn; Jönköping University; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; smart wooden house manufacturing; smart manufacturing; Industry 4.0; smart factory; industrialized house building;

   Sammanfattning : To meet the demand of future building requirements, and to improve productivity and competitiveness, there is a need to modernize and revise the current practices in the wooden single-family house industry. In several other sectors, intensive work is being done to adapt to the anticipated fourth industrial revolution. LÄS MER

4. 3. Dynamic Access Control for Industrial Systems

   Författare :Björn Leander; Hans Hansson; Aida Causevic; Sasikumar Punnekkat; Tomas Lindström; Marina Krotofil; Mälardalens universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Cybersecurity; Industrial Automation and Control Systems; Industry 4.0; Access Control; Computer Science; datavetenskap;

   Sammanfattning : Industrial automation and control systems (IACS) are taking care of our most important infrastructures, providing electricity and clean water, producing medicine and food, along with many other services and products we take for granted. The continuous, safe, and secure operation of such systems are obviously of great importance. LÄS MER

5. 4. Introducing a procedural knowledge model for enhancing industrial process adaptiveness

   Författare :Andrea de Giorgio; Lihui Wang; Mauro Onori; Gino Dini; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; procedural knowledge; industrial process; industry 4.0; adaptiveness; human-machine collaboration; Production Engineering; Industriell produktion;

   Sammanfattning : Industrial processes are mainly based on procedural knowledge that must be continually elicited from experienced operators and learned by novice operators. In the context of Industry 4. LÄS MER

7. 5. Collaborative Predictive Maintenance for Smart Manufacturing : From Wireless Control to Federated Learning

   Författare :Ali Bemani; Niclas Björsell; Janet Lin; Högskolan i Gävle; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

   Sammanfattning : Industry 4.0 represents a significant shift in the industrial landscape, aimed at improving efficiency, productivity, and competitiveness. This shift involves the digitalization of industries, impacting manufacturing and maintenance processes. LÄS MER