Search for dissertations about: "smart maintenance"

Showing result 11 - 15 of 37 swedish dissertations containing the words smart maintenance.

  1. 11. Smart Maintenance Technologies in the Manufacturing Industry : Implementation, Challenges, Enablers and Benefits

    Author : San Giliyana; Antti Salonen; Marcus Bengtsson; Phillip Tretten; Mälardalens universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Industrial Systems; industriella system;

    Abstract : In Industry 4.0, production, Information Technology (IT), and the Internet are combined. The nine technologies of Industry 4.0, Artificial Intelligence (AI) and Cyber-Physical System (CPS), are changing machines, strategies, processes, and maintenance. READ MORE

  2. 12. From data collection to electric grid performance : How can data analytics support asset management decisions for an efficient transition toward smart grids?

    Author : Sylvie Evelyne Koziel; Patrik Hilber; Per Westerlund; Ebrahim Shayesteh; Iordanis Koutsopoulos; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; asset management; data analytics; data management; distribution system operators; electrical power grid; machine learning; real-world datasets; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Physical asset management in the electric power sector encompasses the scheduling of the maintenance and replacement of grid components, as well as decisions about investments in new components. Data plays a crucial role in these decisions. READ MORE

  3. 13. Two-Level Multi-Objective Genetic Algorithm for Risk-Based Life Cycle Cost Analysis

    Author : Yamur K. Al-Douri; Uday Kumar; Jan Lundberg; Hussan Hamodi; Ahmed Al-Dubai; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Artificial intelligence AI ; Life cycle cost LCC ; Machine learning ML ; Multi-objective genetic algorithm MOGA ; Risk-based life cycle cost LCC ; Tunnel fans; Two-level system; Operation and Maintenance Engineering; Drift och underhållsteknik;

    Abstract : Artificial intelligence (AI) is one of the fields in science and engineering and encompasses a wide variety of subfields, ranging from general areas (learning and perception) to specific topics, such as mathematical theorems. AI and, specifically, multi-objective genetic algorithms (MOGAs) for risk-based life cycle cost (LCC) analysis should be performed to estimate the optimal replacement time of tunnel fan systems, with a view towards reducing the ownership cost and the risk cost and increasing company profitability from an economic point of view. READ MORE

  4. 14. Machinery diagnostic techniques for maintenance optimization

    Author : Juhamatti Saari; Jan Lundberg; Kalevi Huhtala; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : One of the future challenges of machinery diagnostics and prognosticsis to prepare for the Internet of Things (IoT), where it is possible to change and improve existing approaches drastically. An intensifying application of the IoT will increase the use of embedded sensors and, therefore, create a demand for diagnostic tools where manual workis minimized and is mainly handled by smart algorithms. READ MORE

  5. 15. A Digitalization Framework for Smart Maintenance of Historic Buildings

    Author : Zhongjun Ni; Shaofang Gong; Magnus Karlsson; Abolfazl Hayati; Linköpings universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Abstract : Smart maintenance of historic buildings involves integration of digital technologies and data analysis methods to help maintain functionalities of these buildings and preserve their heritage values. However, the maintenance of historic buildings is a long-term process. READ MORE