Searched for: subject%3A%22Predictive%255C+Maintenance%22
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Oldenhuis, Job (author)
The drilling industry faces the challenge of moving away from conventional maintenance strategies to maximise operational efficiency. This thesis introduces a holistic approach to land drilling rig Predictive Maintenance (PdM), integrating component maintenance into system-level decision-making. By taking the operations of the whole system into...
master thesis 2024
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Cisneros Acevedo, Daniel (author)
Recent advancements in deep learning for aircraft engine fault detection have been predominantly focused on research using simulated datasets. Despite significant progress, the gap between simulated and real-world data underscores a pressing need for models that are more applicable and adaptable to the aerospace industry. This discrepancy stems...
master thesis 2024
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de Pater, I.I. (author)
Predictive aircraft maintenance is a maintenance strategy that aims to reduce the number of failures, the number of inspections, the number of maintenance tasks and the aircraft maintenance costs. Aircraft are equipped with health monitoring systems, where sensors continuously measure the condition of the aircraft components. In predictive...
doctoral thesis 2024
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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
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Guerra, Victor (author), Hamon, Benoit (author), Bataillou, Benoit (author), Inamdar, A.S. (author), van Driel, W.D. (author)
This paper introduces an ontology-based Digital Twin (DT) architecture for the lighting industry, integrating simulation models, data analytics, and visualization to represent luminaires. The ontology standardizes luminaire components, facilitating interoperability with design tools. The calculated ontology-level metrics suggest mid-level...
journal article 2024
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de Ruijter, Pim (author)
The detection of anomalous behaviour is fundamental to component health analysis techniques. However, detecting anomalies is a difficult and time consuming task if their form, location, and frequency are unknown. This research introduces an innovative unsupervised predictive maintenance pipeline that requires minimal domain knowledge and time to...
master thesis 2023
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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
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Mitici, M.A. (author), de Pater, I.I. (author), Barros, Anne (author), Zeng, Zhiguo (author)
The increasing availability of condition-monitoring data for components/systems has incentivized the development of data-driven Remaining Useful Life (RUL) prognostics in the past years. However, most studies focus on point RUL prognostics, with limited insights into the uncertainty associated with these estimates. This limits the...
journal article 2023
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Mitici, M.A. (author), de Pater, I.I. (author), Zeng, Zhiguo (author), Barros, Anne (author)
We pose the maintenance planning for systems using probabilistic Remaining Useful Life (RUL) prognostics as a renewal reward process. Data-driven probabilistic RUL prognostics are obtained using a Convolutional Neural Network with Monte Carlo dropout. The maintenance planning model is illustrated for aircraft turbofan engines. The results show...
conference paper 2023
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Borst, N.G. (author), Verhagen, W.J.C. (author)
Prognostics and Health Management (PHM) models aim to estimate remaining useful life (RUL) of complex systems, enabling lower maintenance costs and increased availability. A substantial body of work considers the development and testing of new models using the NASA C-MAPSS dataset as a benchmark. In recent work, the use of ensemble methods...
journal article 2023
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Eskue, N.D. (author)
This paper provides a detailed review of a digital thread for composite aerospace components. The current state of the digital thread continues to progress and at an ever-accelerating rate due to advancements in supporting technologies such as AI, data capture/processing/storage, sensors, simulation, and blockchain. While the individual steps...
review 2023
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Lee, J. (author), Mitici, M.A. (author), Blom, H.A.P. (author), Bieber, Pierre (author), Freeman, Floris (author)
The increasing use of on-board sensor monitoring and data-driven algorithms has stimulated the recent shift to data-driven predictive maintenance for aircraft. This paper discusses emerging challenges for data-driven predictive aircraft maintenance. We identify new hazards associated with the introduction of data-driven technologies into...
journal article 2023
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Lee, J. (author)
Current aircraft maintenance ensures safe and reliable flight operations based on inspections repeated at fixed time intervals. The time interval between inspections is often much shorter than the average life of aircraft components, in an effort to timely detect potential failures. While this approach successfully prevents most potential...
doctoral thesis 2022
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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
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Mooldijk, Esmée (author)
master thesis 2022
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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
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Robinson, Alex (author)
Industrial electric motors are at the heart of almost every industry. They are a 47 billion USD market in 2020 and consume 70% of all industrial electricity. They are generally paired with a gearbox and load, which is referred to as an electric gearmotor system. Being so essential means that it is important to avoid failures, 98% of 300...
master thesis 2022
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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
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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
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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
Searched for: subject%3A%22Predictive%255C+Maintenance%22
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