Searched for: +
(1 - 20 of 21)

Pages

List view
Grid view
document
Meijs, Lester (author)
With Schiphol Airport's flight numbers growing, working assets are essential to ensure on-time processes. The Passenger Boarding Bridge (PBB) is a critical asset in the airport's turnaround process. By ensuring that the asset is working properly, the operational processes can run efficiently. Currently, improving the reliability of the PBB when...
master thesis 2024
document
Dadoo, Vani (author), Jadhavrao, Vishwa (author), Vale de Almeida Norte, Marta (author), Aversa, Alberto (author), Fabrykiewicz, Ada (author), van der Spek, Bas (author), Broos, Sam (author), Savelberg, Thijs (author), Gniadek, Gosia (author), Dissel, Luca (author)
Bachelor Thesis: Design Synthesis Exercise 2023<br/>Group 13: Electric General Aircraft<br/><i>in collaboration with</i><br/>Group 10: Mid-Flight Recharging System<br/><br/>Addressing the pressing need for sustainability amid climate change, the aviation sector is under pressure to mitigate its significant carbon emissions. As aviation accounts...
bachelor thesis 2023
document
Drozdowski, Tomasz (author)
Artificial Intelligence technology offers computational, decision-making, and optimizing abilities that surpass every previously established traditional computation method. By being able to navigate across large amounts of data, the realized solutions learn on their own and provide results that would be unattainable with other ways. The complex...
master thesis 2022
document
Mooldijk, Esmée (author)
master thesis 2022
document
Azad, Hamza (author)
Rijkswaterstaat’s Storm Surge Barriers are expensive assets providing economic value with the expectation of future returns. The maintenance is executed by the asset management department, which aims at maximizing operability without sacrificing safety and reliability. However, regular maintenance becomes more stringent as circumstances change,...
master thesis 2022
document
Thakoerdajal, Nitesh (author)
Highly-loaded low-speed roller bearings are frequently used in equipment offshore e.g. slew bearings in crane, sheave bearings and FPSO turret bearings. Reducing maintenance costs, increasing productivity, ensuring safety of people and structural integrity and longevity assurance of equipment can be achieved by the condition monitoring of highly...
master thesis 2022
document
Schiettekatte, Niels (author)
Aircraft maintenance methods are shifting from conservative maintenance approaches such as a periodic maintenance approach towards predictive maintenance approaches, leading to a reduction of costs, less unexpected aircraft-on-ground events and less wasted useful life of components. In this paper, we propose a new remaining useful life...
master thesis 2022
document
Panse, Sahil (author)
With the increasing availability of sensor data to monitor the health of systems and components, maintenance is encountering a shift from the traditional preventive and corrective methodologies to a predictive approach. Given that maintenance, repair and overhaul are a significant operational cost to organizations, it is imperative that the...
master thesis 2022
document
Mars, Laura (author)
In this thesis, a simulation cost model is presented that can be used to assess the cost-effectiveness of a selection of PdM programs. The proposed model combines a discrete event simulation (DES) model with a cost model. It is specifically designed to analyse the PdM programs for the vacuum compressor pumps at Duyvis. All the PdM programs...
master thesis 2021
document
Busa, Barnabás (author)
This thesis evaluates standard statistical and machine learning models for early fault detection for Valve Regulated Lead-Acid (VRLA) batteries in uninterruptible power supply (UPS) units. Unexpected battery failures in emergency support systems throughout CERN can endanger working personnel. Thus the minimization of downtime of such battery...
master thesis 2021
document
Loorpuu, A. (author)
Predictive maintenance (PdM) is one of the promising technologies coming along with the fourth industrial revolution being pushed by disruptive technologies like Internet of Things (IoT), Artificial Intelligence (AI), robotics and Augmented and Virtual Reality (AR/VR). Adopting PdM potentially allows companies to reduce equipment downtime,...
master thesis 2020
document
Uitterdijk, Niels (author)
This thesis presents a novel data-driven Fault Detection and Isolation algorithm for the public network of Electric Vehicle chargers of Tritium Ltd. Pty. The proposed solution is robust against marginal differences in data distribution as well as marginal changes over time due the state-of-the-art optimization techniques used. This is required...
master thesis 2020
document
Sprong, Jorben (author)
Maintenance providers in commercial aviation are looking into new strategies to improve maintenance operations and aircraft availability in order to reduce cost and increase customer satisfaction. Aircraft availability and thus profitability highly relies on adequate maintenance because an aircraft is only profitable when...
master thesis 2019
document
Badarinath, Karthik (author)
Wind power is the fastest-growing energy source and the offshore wind industry is expected to grow by over 80 GW through 2024. There is a need to reduce all associated costs to be competitive in a market that might be fully subsidy-free soon. Adapting a predictive or condition-based maintenance strategy can help in reducing O&amp;M costs, as it...
master thesis 2019
document
Thijssens, Olivier (author)
Global and local aviation traffic is growing while economic and performance pressures on the industry are increasing. As a consequence, airlines try to maximise their fleet utilization. Airline operators and Maintenance, Repair and Overhaul (MRO) providers therefore require as much insight as possible in factors affecting component reliability...
master thesis 2019
document
Hutten, Florian (author)
In this day and age, failure of railway switches is managed using preventive and corrective maintenance, not predictive maintenance. These maintenance methods may allow for failure, where such a feailure could have been predicted. To combat this issue, this paper proposes a real-time predictive maintenance framework, which can identify the...
master thesis 2019
document
Ward, Keith (author)
This study examines Gas Path Analysis (GPA) as a method for the predictive maintenance of the Honeywell 331-500 Auxiliary Power Unit (APU). The 331-500 is used on the Boeing 777 and is susceptible to a sudden failure during operation due to the release of a first stage turbine blade. Investigations found the failure mechanisms of the blade...
master thesis 2018
document
Helmiriawan, Helmi (author)
Modern refineries typically use a high number of sensors that generate an enormous amount of data about the condition of the plants. This generated data can be used to perform predictive maintenance, an approach to predict impending failures and mitigate downtime in refineries. This research analyzes the scalability of machine learning methods...
master thesis 2018
document
IJzermans, Erik (author)
The newest generation of aircraft has seen a strong increase in sensor data generated on-board. The available data has the potential to indicate the health state of individual components based on which their maintenance requirements can be determined, a maintenance strategy called Condition Based Maintenance. Predictive Maintenance is a specific...
master thesis 2018
document
Wansink, Jan-Douwe (author)
Changing market dynamics make that mining companies need to increase their equipment utilization and use their equipment more effectively. The growing availability of data from mining equipment and mining operations enables the use of data analytics to achieve that goal. This thesis explores the potential of data analytics and machine learning...
master thesis 2017
Searched for: +
(1 - 20 of 21)

Pages

List view
Grid view