Searched for: subject%3A%22aircraft%255C+maintenance%22
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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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Rahn, A.R. (author), Schuch, Melissa (author), Wicke, Kai (author), Sprecher, Benjamin (author), Dransfeld, C.A. (author), Wende, Gerko (author)
As the aviation industry strives to minimise its environmental footprint, understanding the full life cycle impacts, including maintenance, becomes essential for sustainable development. This paper addresses the critical research gap in the environmental assessment of aircraft maintenance by conducting a comprehensive life cycle assessment...
journal article 2024
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Wittenberg, Mels (author)
Efficient maintenance scheduling is a critical objective for aircraft carriers and Maintenance Repair and Overhaul Organizations (MROs) to minimize aircraft downtime. While predictive maintenance models have improved, accurately identifying materials, especially spare parts, for specific maintenance events remains challenging. This paper...
master thesis 2023
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Tyagi, Alok (author), Tripathi, Rajesh (author), Bouarfa, S. (author)
In the last decade, the aircraft maintenance industry has experienced a paradigm shift in safety management. This is primarily due to the implementation of Safety Management Systems (SMS) in its business practices. The critical facet of such SMS recognizes hazards ahead of time. This review aims to undertake scholarly research to enable the...
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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de Pater, I.I. (author), Reijns, Arthur (author), Mitici, M.A. (author)
The increasing availability of condition monitoring data for aircraft components has incentivized the development of Remaining Useful Life (RUL) prognostics in the past years. However, only few studies consider the integration of such prognostics into maintenance planning. In this paper we propose a dynamic, predictive maintenance scheduling...
journal article 2022
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Lee, J. (author), Mitici, M.A. (author)
Aircraft maintenance design aims to identify strategies that render the aircraft reliable for flight in a cost-efficient manner. These are often conflicting objectives. Moreover, existing studies on maintenance design often limit themselves to only one type of maintenance strategy, overlooking other potentially dominating designs. We propose...
journal article 2022
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Deng, Q. (author), Santos, Bruno F. (author), Verhagen, W.J.C. (author)
Modern aircraft have thousands of parts, systems, and components that need to be recurrently inspected or replaced. To keep the fleet airworthy, maintenance planners have to schedule the maintenance checks for each aircraft and the associated tasks. In practice, these two complex problems are solved following the experience of planners,...
journal article 2021
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Lee, J. (author), Mitici, M.A. (author)
Predictive aircraft maintenance is a complex process, which requires the modeling of the stochastic degradation of aircraft systems, as well as the dynamic interactions between the stakeholders involved. In this paper, we show that the stochastically and dynamically colored Petri nets (SDCPNs) are able to formalize the predictive aircraft...
conference paper 2021
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Mitici, M.A. (author), de Pater, I.I. (author)
Remaining-useful-life prognostics for aircraft components are central for efficient and robust aircraft maintenance. In this paper, we propose an end-to-end approach to obtain online, model-based remaining-useful-life prognostics by learning from clusters of components with similar degradation trends. Time-series degradation measurements are...
journal article 2021
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van der Weide, Tim (author), Deng, Q. (author), Santos, Bruno F. (author)
Long-term heavy maintenance check schedules are crucial in the aviation industry since airlines need them to prepare the required maintenance tools, workforce, and aircraft spare parts. However, most airlines adopt a manual approach to plan the heavy maintenance check schedules in current practice. This manual process relies on the experience of...
journal article 2021
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Koornneef, H. (author), Verhagen, W.J.C. (author), Curran, R. (author)
Aircraft dispatch involves determining the optimal dispatch option when an aircraft experiences an unexpected failure. Currently, maintenance technicians at the apron have limited access to support information and finding the right information in extensive maintenance manuals is a time-consuming task, often leading to technically induced...
journal article 2021
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Witteman, Max (author), Deng, Q. (author), Santos, Bruno F. (author)
This paper addresses the scheduling of aircraft maintenance tasks that must be carried out in multiple maintenance checks to keep a fleet of aircraft airworthy. The allocation of maintenance tasks to maintenance opportunities, also known as the task allocation problem (TAP), is a complex combinatorial problem that needs to be solved daily by...
journal article 2021
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Andrade, Pedro (author), Silva, Catarina (author), Ribeiro, Bernardete (author), Santos, Bruno F. (author)
This paper presents a Reinforcement Learning (RL) approach to optimize the long-term scheduling of maintenance for an aircraft fleet. The problem considers fleet status, maintenance capacity, and other maintenance constraints to schedule hangar checks for a specified time horizon. The checks are scheduled within an interval, and the goal is...
journal article 2021
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Lee, J. (author), Mitici, M.A. (author)
As aircraft maintenance is transitioning towards data- driven condition-based maintenance (CBM), its cost and performance objectives need to be re-evaluated: how are these objectives related under various CBM strategies?; which objectives are conflicting?; what are the trade-offs between the conflicting objectives?; what is the impact of this...
conference paper 2021
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Bieber, M.T. (author), Verhagen, W.J.C. (author), Santos, Bruno F. (author)
During flights aircraft continuously collect data regarding operations, health status and system condition. Data-driven approaches typically applied to system specific sensor data provide a way to predict failures of aircraft systems. However, it is believed that some systems deteriorate faster when subjected to particular environmental...
conference paper 2021
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de Pater, I.I. (author), Carrillo Galera, M.D.M. (author), Mitici, M.A. (author)
We propose a criticality-based scheduling model for aircraft component replacements.We schedule maintenance for a fleet of aircraft, each equipped with a multi-component system. The maintenance schedule takes into account a limited stock of spare components and the Remaining-Useful-Life prognostics for the components. We propose a component...
conference paper 2021
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Lee, J. (author), Mitici, M.A. (author)
Aircraft maintenance is key for safe and efficient aircraft operations. While most studies propose cost-efficient maintenance strategies, the safety and efficiency of these strategies need to be quantified. This paper proposes a formal framework to assess the safety and efficiency of maintenance strategies by means of agent-based modelling,...
journal article 2020
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Massart, Philippe F.R. (author), Dhanisetty, V.S.V. (author), Kassapoglou, C. (author), Verhagen, W.J.C. (author), Curran, R. (author)
This paper proposes an analytical model that uses historical damage dimension data to deduce physical impactor characteristics (size and energy) that has caused a certain resulting damage. Maintenance tasks occur in operations due to impact, however the source of the damage caused in the event remains in most cases unknown. Consequently, by...
journal article 2020
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