Searched for: subject%3A%22Remaining%255C%2Buseful%255C%2Blife%22
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Eleftheroglou, N. (author), Galanopoulos, Georgios (author), Loutas, Theodoros (author)
Data-driven methodologies have found increasing usage in the last decade for remaining useful life (RUL) prognostics of composite materials utilizing structural health monitoring (SHM) data. Of particular interest is the reliable RUL prediction in cases where the end-of-life is not in between the extreme values within the testing dataset. For...
journal article 2024
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Galanopoulos, Georgios (author), Eleftheroglou, N. (author), Milanoski, Dimitrios (author), Broer, Agnes A.R. (author), Zarouchas, D. (author), Loutas, Theodoros (author)
We present a generic methodology for developing a Health Indicator out of strain-based Structural Health Monitoring data suitable for implementation in prognostic tasks. For this purpose, an in-house test campaign is launched. Single-stringered composite panels are subjected to compression-compression fatigue with the strains being monitored...
journal article 2023
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Mitici, M.A. (author), Hennink, Birgitte (author), Pavel, M.D. (author), Dong, J. (author)
The health management of batteries is a key enabler for the adoption of Electric Vertical Take-off and Landing vehicles (eVTOLs). Currently, few studies consider the health management of eVTOL batteries. One distinct characteristic of batteries for eVTOLs is that the discharge rates are significantly larger during take-off and landing, compared...
journal article 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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de Pater, I.I. (author), Mitici, M.A. (author)
Most Remaining Useful Life (RUL) prognostics are obtained using supervised learning models trained with many labelled data samples (i.e., the true RUL is known). In aviation, however, aircraft systems are often preventively replaced before failure. There are thus very few labelled data samples available. We therefore propose a Long Short-Term...
journal article 2023
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Galanopoulos, Georgios (author), Milanoski, Dimitrios (author), Eleftheroglou, N. (author), Broer, Agnes A.R. (author), Zarouchas, D. (author), Loutas, Theodoros (author)
An increasing interest for Structural Health Monitoring has emerged in the last decades. Acoustic emission (AE) is one of the most popular and widely studied methodologies employed for monitoring, due to its capabilities of detecting, locating and capturing the evolution of damage. Most literature so far, has employed AE for characterizing...
journal article 2023
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Galanopoulos, Georgios (author), Fytsilis, Efthimios (author), Yue, N. (author), Broer, Agnes A.R. (author), Milanoski, Dimitrios (author), Zarouchas, D. (author), Loutas, Theodoros (author)
In this paper we execute a complex test campaign to develop a novel methodology for the Remaining Useful Life (RUL) estimation of complex multi-stiffened composite aeronautical panels utilizing Machine Learning models trained with Structural Health Monitoring (SHM) data from hierarchically simpler elements, i.e., single-stiffened panels....
journal article 2023
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de Pater, I.I. (author), Mitici, M.A. (author)
A good weight initialization is crucial to accelerate the convergence of the weights in a neural network. However, training a neural network is still time-consuming, despite recent advances in weight initialization approaches. In this paper, we propose a mathematical framework for the weight initialization in the last layer of a neural...
journal article 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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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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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
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Kirschbaum, Lucas (author), Robu, Valentin (author), Swingler, Jonathan (author), Flynn, David (author)
Electromagnetic Relays (Electromagnetic Relay (EMR)s) are omnipresent in electrical systems, ranging from mass-produced consumer products to highly specialised, safety-critical industrial systems. Our detailed literature review focused on EMR reliability highlighting the methods used to estimate the State of Health or the Remaining Useful...
review 2022
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Lee, J. (author), Mitici, M.A. (author)
The increasing availability of sensor monitoring data has stimulated the development of Remaining-Useful-Life (RUL) prognostics and maintenance planning models. However, existing studies focus either on RUL prognostics only, or propose maintenance planning based on simple assumptions about degradation trends. We propose a framework to integrate...
journal article 2022
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Bieber, M.T. (author), Verhagen, W.J.C. (author)
In recent years, there has been an enormous increase in the amount of research in the field of prognostics and predictive maintenance for mechanical and electrical systems. Most of the existing approaches are tailored to one specific system. They do not provide a high degree of flexibility and often cannot be adaptively used on different systems...
journal article 2022
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Boekweit, Stan (author)
During operation aircraft brakes degrade due to wear. This degradation can be continuously monitored using brake degradation sensors. Using this monitored degradation data the remaining useful life of the brakes can be estimated by means of a prognostic model based on a Gamma probability distribution. Using the remaining useful life estimations...
master thesis 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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De Jonghe, Thomas (author)
High performance continuous fiber-reinforced composites are becoming increasingly important in the aerospace industry. In these structures, internal damage is often created and propagated throughout the lifetime, having a negative impact on the structural properties. In order to allow for condition-based maintenance, there is a need for reliable...
master thesis 2020
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Eleftheroglou, N. (author)
Prognostics is an emerging field of research that enables the real-time health assessment of an engineering system and the prediction of its future state based on up-to-date information. This field integrates various scientific disciplines including physics/mechanics, computational statistics and probabilistic modeling, machine learning and...
doctoral thesis 2020
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Li, R. (author)
With the rapid development in the past century, the air transport network has become one of the most important infrastructure networks for both the domestic and global economy. Within an airline, the maintenance area is responsible for planning and executing all preventive actions required to meet safety standards including maintenance tasks,...
doctoral thesis 2020
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