Search for dissertations about: "maintenance based risk"

Showing result 1 - 5 of 119 swedish dissertations containing the words maintenance based risk.

  2. 1. Load and Risk Based Maintenance Management of Wind Turbines

    Author : Pramod Bangalore; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; optimization; wind energy.; supervisory control and data acquisition SCADA ; condition monitoring system CMS ; Artificial neural networks ANN ; maintenance strategy; maintenance planning; maintenance management; life cycle cost;

    Abstract : The cost of maintenance is a considerable part of the total life cycle cost in wind turbines, especially for offshore applications. Research has shown that some critical components account for most of the downtime in the wind turbines. READ MORE

  4. 2. Load and risk based maintenance management of wind turbines

    Author : Pramod Bangalore; Chalmers tekniska högskola; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; condition monitoring system CMS ; optimization; supervisory control and data acquisition SCADA ; maintenance planning; Artificial neural network ANN ; life cycle cost; maintenance management; maintenance strategy; wind energy.;

    Abstract : Wind power has proven to be an important source of renewable energy in the modern electric power systems. Low profit margins due to falling electricity prices and high maintenance costs, over the past few years, have led to a focus on research in the area of maintenance management of wind turbines. READ MORE

  5. 3. Reliability-centred maintenance : identification of management and organisational aspects when introducing RCM

    Author : Fredrik Backlund; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Kvalitetsteknik; Quality Technology and Management;

    Abstract : Increased demands on productivity, quality and cost-efficiency affecting manufacturing trends towards increased complexity and higher degree of process automation. A major break down in such a manufacturing system may generate severe damage on productivity, environment and personnel. READ MORE

  6. 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

  7. 5. Data-driven models for railway track geometry maintenance

    Author : Hamid Khajehei; Alireza Ahmadi; John Andrews; Luleå tekniska universitet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Data-driven models; degradation; maintenance; tamping; track geometry; planning and scheduling; railway infrastructure; Drift och underhållsteknik; Operation and Maintenance;

    Abstract : Railways are currently experiencing higher demands on safety, infrastructure performance, network capacity and service quality, etc. As a result, a high level of track availability, service quality and infrastructure robustness against unexpected events is required, at reduced cost, to meet the demands. READ MORE