Essays about: "Railway Maintenance"
Showing result 1 - 5 of 83 essays containing the words Railway Maintenance.
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1. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. READ MORE
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2. Challenges in the Maintenance and Diagnostic Segment of Digital Asset Management in the Swedish Railway Industry
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Just like the rest of society, the use of digital technology has throughout the years become a more crucial part for train companies to improve performance, meet customer demands, improve operation and maintenance processes to increase efficiency and reliability. These solutions have through time developed to become part of a cluster named Digital Asset Management (DAM). READ MORE
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3. Simultaneous scheduling of railway maintenance and trains : Modelling and solving train interactions close to a maintenance operation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Rail transport plays a key role in the mobility of passengers and goods. It is expected to grow the decarbonization of society. In that context, it is important to use the railway network efficiently, and jointly planning trains and network maintenance allows for better use of resources. READ MORE
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4. Opportunities with Modular Systems in Level Crossings : A Case Study in the Swedish Railway Industry
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Level crossings are a dangerous part of railways, causing several deaths every year. While the safest solution is to remove crossings altogether using bridges or tunnels, this is complicated and cannot be done on a large scale. Many level crossings will therefore continue to exist. READ MORE
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5. Machine learning for risk ranking of component failure : A comparative study of traditional- and survival machine learning approaches applied to historical data
University essay from Uppsala universitet/DatalogiAbstract : This master thesis investigates the use of machine learning for predicting and assessing the risk of railway vehicle component failures. Data used for failure prediction often comes with limitations due to the complex nature of maintenance or sometimes requires investments for the extraction of information. READ MORE