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Diab Montero, H.A. (author)
In this dissertation, I explore ensemble data assimilation methods to enhance our capability to forecast earthquakes and slow slip events, focusing on the critical challenge posed by limited information on the current stress state of faults. <br/>At the outset, the research acknowledges the inherent limitations in our current understanding of...
doctoral thesis 2024
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Noom, J. (author)
The complexity of automated systems has grown considerably during the past decades. This convolutes the observation of possible faults in these systems. If not being revealed timely, such faults can lead to catastrophic failures. As a result, there is a continuous interest in sophisticated fault diagnosis techniques. Since it is generally...
doctoral thesis 2024
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Laguarda, L. (author), Hickel, S. (author)
We propose several enhancements to improve the accuracy and performance of the digital filter turbulent inflow generation technique and assess their efficacy in the context of wall-resolved large-eddy simulations of a compressible turbulent boundary layer. Improvements of accuracy include a more realistic correlation function for the...
journal article 2024
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Li, Tianzhi (author), Chen, Jian (author), Yuan, Shenfang (author), Zarouchas, D. (author), Sbarufatti, Claudio (author), Cadini, Francesco (author)
Fatigue damage prognosis always requires a degradation model describing the damage evolution with time; thus, the prognostic performance highly depends on the selection of such a model. The best model should probably be case specific, calling for the fusion of multiple degradation models for a robust prognosis. In this context, this paper...
journal article 2024
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Psychas, D.V. (author), Khodabandeh, A. (author), Teunissen, P.J.G. (author)
PPP-RTK corrections, aiding GNSS users to achieve single-receiver integer ambiguity-resolved parameter solutions, are often estimated in a recursive manner by a provider. Such recursive, multi-epoch, estimation of the corrections relies on a set of S-basis parameters that are chosen by the provider so as to make the underlying measurement...
journal article 2024
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Trikannad, S.A. (author), Attiani, Valentina (author), van der Wielen, Paul W.J.J. (author), Smidt, Hauke (author), van der Hoek, J.P. (author), van Halem, D. (author)
Slow sand filters (SSFs) are widely used in drinking water production to improve microbial safety and biological stability of water. Full-scale SSFs are maintained by scraping the biomass-rich top layers of sand. The period of downtime required for filter recovery after scraping is a major challenge due to limited knowledge of the re...
journal article 2024
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Deshmukh, R.S. (author), Bauer, P. (author), Vahedi, H (author)
This article presents a detailed procedure for deriving the generalized average model (GAM) of a dual active bridge converter. The proposed model incorporates higher orders of harmonic components to increase accuracy. Moreover, the turn ratio of the high-frequency transformer (N_t) is considered for realistic modeling, which removes the...
journal article 2024
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Ferrante, G. (author), Chen, Zhi X. (author), Langella, I. (author)
Large eddy simulation (LES) paradigms are used in the present work to predict premixed and partially premixed turbulent flames with flamelets based thermochemistry and presumed filtered density function approach for turbulence-chemistry interaction modelling. The combustion model requires a closure for the scalar dissipation rate of a...
journal article 2024
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Besseling, Roos (author)
This study investigates the capacity of an open inverted filter to stabilize the interface between the sand fill and core fill in a rubble mound breakwater. The strength of this filter relies on the arching mechanism of the base material, which is directly influenced by factors such as stability ratio and effective stresses. These forces arise...
master thesis 2023
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Harte, Jesse (author)
In this thesis we aim to research and design different neural models for session recommendation. We investigate the fundamental neural models for session recommendation, namely BERT4Rec, SASRec and GRU4Rec and subsequently use our findings to design a simpler but performant neural model. <br/><br/>Firstly, we address methodological errors made...
master thesis 2023
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Wu, Keyu (author)
Class-D amplifiers have gained popularity for their high-power efficiency, exceeding 90%. Among them, digital-input Class-D amplifiers stand out due to their superior integration and increased immunity to electromagnetic interference (EMI). This project introduces a high-performance digital-input Class-D amplifier, aiming for a dynamic range...
master thesis 2023
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Moreno León, C. (author)
Radar-tracking of low-observable targets such as drones suffers from low detection performance. In these type of applications, it is desirable to avoid data thresholding in order to preserve the weak target signal in the raw sensor data. This thesis considers the Multiple Object Tracking (MOT) problem in the context of radar Track-before-Detect ...
doctoral thesis 2023
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Li, Roger Zhe (author)
doctoral thesis 2023
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Huijbrechts, Maartje (author)
Macro X-ray fluorescence (MA-XRF) is a recently developed technology allowing to obtain elemental information from cultural heritage objects. This information can, for example, be used to identify pigments used in a painting. Yet, the extended period of time it takes to scan an object is a major issue within MA-XRf. For instance, it took about...
master thesis 2023
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Wang, Haobo (author)
The evolution of aerial vehicle technology necessitates robust trajectory prediction models. These models are crucial for maintaining safe airspace and enabling autonomous operations. Automatic dependent surveillance–broadcast (ADS-B) is a surveillance system that enables aircraft to receive data from navigation satellites and periodically...
master thesis 2023
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Liu, Tianyi (author)
Transcranial Doppler ultrasound imaging is a crucial tool for both clinical and research applications. Despite its significance, its utility is constrained by the dynamic range limitations of the receiver system. Traditional methods, relying on high-dynamic-range front-end amplifiers and high-resolution ADCs, are often inefficient. These methods...
master thesis 2023
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Gupta, Avish (author)
Flow sensing is essential in various industrial, commercial, and biomedical applications. Although many types of flow sensors exist, thermal flow sensors are widely used due to their simple sensing elements (heaters and temperature sensors) and low fabrication costs. A low-cost interface for thermal flow sensors can then be realized with a...
master thesis 2023
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Dong, J. (author)
Advancements in technology and societal demands have led to increasing complexity, size, and automation in modern industrial systems. This trend makes these systems more safety-critical, as the occurrence of faults in system components or subsystems may cause the entire system to fail, resulting in significant economic losses and casualties....
doctoral thesis 2023
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Wang, Tianyu (author)
The growing demand for asynchronous data communication leads to a growing demand for CDR systems to recover the sampling clock of the received data. The DTC in the CDR system is the main jitter source of the recovered data. A low-jitter DTC is required to generate data of low-jitter performance, calling for the application of a phase noise...
master thesis 2023
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Menken, Maarten (author)
Lithium-ion batteries are the dominant electrochemical energy storage device and are a key enabler of portable electronics and electric vehicles. However, the technology is often criticized for its use of rare metals. Extending the lifetime of lithium-ion batteries can allow for more time to develop rare metal recycling efforts but this requires...
master thesis 2023
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