Search for dissertations about: "maintenance optimize"

Showing result 1 - 5 of 58 swedish dissertations containing the words maintenance optimize.

  1. 1. On maintenance optimization for offshore wind farms

    Author : Francois Besnard; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; life cycle cost; optimization; maintenance; maintenance planning; Offshore wind energy; maintenance strategy; maintenance support organization; reliability;

    Abstract : The maintenance cost is known to be an important part of the levelized cost of energy generated by wind parks. Operational costs can be significantly reduced by optimizing decisions for maintenance strategies, maintenance support organization and maintenance planning. READ MORE

  2. 2. On Optimal Maintenance Management for Wind Power Systems

    Author : Francois Besnard; Lina Bertling; Lars Gertmar; KTH; []
    Keywords : Wind Power; Maintenance; Reliability; Optimization;

    Abstract : Sound maintenance strategies and planning are of crucial importance for wind power systems, and especially for offshore locations. In the last decades, an increased awareness of the impact of human living on the environment has emerged in the world. READ MORE

  3. 3. Optimization of track geometry maintenance : a study of track geometry degradation to specify optimal inspection intervals

    Author : Iman Arasteh khouy; Per-Olof Larsson-Kråik; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Railway infrastructure is a complex system which comprises different subsystems. Long useful life span is one of the important aspects of this prime mode of transport. The useful life length of its assets is highly dependent on the maintenance and renewal strategy used during its life cycle. READ MORE

  4. 4. 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

  5. 5. Towards a methodology for integrated design of mechatronic servo systems

    Author : Fredrik Roos; Jan Wikander; Hans Johansson; Hendrik van Brussel; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Mechatronics; Servo Systems; Design Methodology; Integrated Design; Construction engineering; Konstruktionsteknik;

    Abstract : Traditional methods for mechatronics design are often based on a sequential approach, where the mechanical structure is designed first, and then fitted with off-the-shelf electric motors, drive electronics, gearheads and sensors. Finally a control system is designed and optimized for the already existing physical system. READ MORE