Search for dissertations about: "Operation and Maintenance"
Showing result 6 - 10 of 281 swedish dissertations containing the words Operation and Maintenance.
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6. Leveraging Data-Driven and Alignment Techniques for Optimal Railway Track Maintenance Scheduling
Abstract : The railway infrastructure plays a pivotal role in fostering economic growth and poverty alleviation. Over time, these infrastructures deteriorate due to aging and usage, compromising their functionality. Given their crucial socioeconomic significance and vast scale, ensuring their functionality and availability is paramount. READ MORE
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7. Two-Level Multi-Objective Genetic Algorithm for Risk-Based Life Cycle Cost Analysis
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
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8. Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution
Abstract : Reducing unscheduled maintenance is important for aircraft operators. There are significant costs if flights must be delayed or cancelled, for example, if spares are not available and have to be shipped across the world. READ MORE
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9. A Challenge-driven Framework for Innovations in Railways
Abstract : The railway is often perceived as an industry where new technology is not utilised to its full potential. However, the future of the railway and its ability to respond to future transportation demands lies in its ability to adopt, adapt, implement, and integrate emerging technology. These technologies are expected to lead to, e.g. READ MORE
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10. Hybrid digital twins: A co-creation of data science and physics
Abstract : Safety is more important than reliability or efficiency in railway, aerospace, oil & gas, and chemical industries. Regulations are very restrictive in sectors where safety is paramount. READ MORE