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Modal analysis of an operational offshore wind turbine using enhanced Kalman filter-based subspace identification

van Vondelen, A.A.W. (author), Iliopoulos, Alexandros (author), Navalkar, S.T. (author), van der Hoek, D.C. (author), van Wingerden, J.W. (author)

Operational modal analysis (OMA) is an essential tool for understanding the structural dynamics of offshore wind turbines (OWTs). However, the classical OMA algorithms require the excitation of the structure to be stationary white noise, which is often not the case for operational OWTs due to the presence of periodic excitation caused by...

journal article 2023

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Kalman filter-based integration of GNSS and InSAR observations for local nonlinear strong deformations

Tondaś, Damian (author), Ilieva, Maya (author), van Leijen, F.J. (author), van der Marel, H. (author), Rohm, Witold (author)

The continuous monitoring of ground deformations can be provided by various methods, such as leveling, photogrammetry, laser scanning, satellite navigation systems, Synthetic Aperture Radar (SAR), and many others. However, ensuring sufficient spatiotemporal resolution of high-accuracy measurements can be challenging using only one of the...

journal article 2023

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Virtual sensing of subsoil strain response in monopile-based offshore wind turbines via Gaussian process latent force models

Zou, Joanna (author), Lourens, E. (author), Cicirello, A. (author)

Virtual sensing techniques have gained traction in applications to the structural health monitoring of monopile-based offshore wind turbines, as the strain response below the mudline, which is a primary indicator of fatigue damage accumulation, is impractical to measure directly with physical instrumentation. The Gaussian process latent force...

journal article 2023

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Enabling Large-Scale Probabilistic Seizure Detection with a Tensor-Network Kalman Filter for LS-SVM

de Rooij, S.J.S. (author), Batselier, K. (author), Hunyadi, Borbala (author)

Recent advancements in wearable EEG devices have highlighted the importance of accurate seizure detection algorithms, yet the ever-increasing size of the generated datasets poses a significant challenge to existing seizure detection methods based on kernel machines. Typically, this problem is mitigated by significantly undersampling the...

conference paper 2023

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On the Problem of Double-Filtering in PPP-RTK

Khodabandeh, A. (author), Teunissen, P.J.G. (author), Psychas, D. (author)

To obtain single-receiver Global Navigation Satellite System (GNSS) parameter solutions, the PPP-RTK user-filter combines measurements with time-correlated corrections that are separately computed by the filter of an external provider. The consequence of exercising such double-filtering is that the Kalman filter’s standard assumption of...

journal article 2023

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Relative Affine Localization for Robust Distributed Formation Control

Li, Z. (author), Rajan, R.T. (author)

Multiagent systems have been widely researched and deployed in the industry for their potential to collectively achieve goals by distributing tasks to individual agents [1]–[4]. Formation control, one of the many applications of multiagent systems, aims at steering agents into a stable geometric pattern in space [3], [4]. There has been a...

conference paper 2022

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Epileptic Seizure Detection using a Tensor-Network Kalman Filter for LS-SVMs

de Rooij, S.J.S. (author), Hunyadi, Borbala (author)

Epilepsy is one of the most common neurological conditions, affecting nearly 1% of the global population. It is defined by the seemingly random occurrence of spontaneous seizures. Anti-epileptic drugs provide adequate treatment for about 70% of patients. The remaining 30%, on the other hand, continue to have seizures, which has a significant...

conference paper 2022

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Embedded AI Enabled Air-Writing for a Post-COVID World: Extended Abstract

Goedemondt, K.S. (author), Yang, J. (author), Wang, Q. (author)

Touchscreens and buttons had became a medium for virus transmission during the COVID-19 pandemic. We have seen in our daily life that people use tissues and keys to press buttons inside elevators, on public screens, etc. In the post- COVID world, touch-free interaction with public touchscreens and buttons may become more popular. Motivated by...

conference paper 2022

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Detection of cyber attack in smart grid: A Comparative Study

Xiao, J. (author), Wang, L. (author), Qin, Z. (author), Bauer, P. (author)

Smart grid steady control relies heavily on the communication infrastructure among sensors, actuators, and control systems, which makes it vulnerable to cyber-attacks. Accurate acquisition of dynamic state information is deemed vital for efficient detection of these cyber-attacks on a smart grid. However, several popular state estimation...

conference paper 2022

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POD–Kalman filtering for improving noninvasive 3D temperature monitoring in MR-guided hyperthermia

VilasBoas-Ribeiro, Iva (author), Nouwens, Sven A.N. (author), Curto, Sergio (author), Jager, Bram de (author), Franckena, Martine (author), van Rhoon, G.C. (author), Heemels, W. P.M.H. (author), Paulides, Margarethus M. (author)

Background: During resonance frequency (RF) hyperthermia treatment, the temperature of the tumor tissue is elevated to the range of 39–44°C. Accurate temperature monitoring is essential to guide treatments and ensure precise heat delivery and treatment quality. Magnetic resonance (MR) thermometry is currently the only clinical method to...

journal article 2022

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Distributed kalman filters for relative formation control of multi-agent systems

van der Marel, M.P. (author), Rajan, R.T. (author)

Formation control (FC) of multi-agent systems plays a critical role in a wide variety of fields. In the absence of absolute positioning, agents in FC systems rely on relative position measurements with respect to their neighbors. In distributed filter design literature, relative observation models are comparatively unexplored, and in FC...

conference paper 2022

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On the Estimation of Vector Wind Profiles Using Aircraft-Derived Data and Gaussian Process Regression

Marinescu, Marius (author), Olivares, Alberto (author), Staffetti, Ernesto (author), Sun, Junzi (author)

This work addresses the problem of vertical wind profile online estimation at a given location. Specifically, the north and east components of the wind are continuously estimated as functions of time and altitude at two waypoints used for landing on the Adolfo Suarez Madrid-Barajas airport. A continuous nowcast of the wind profile is...

journal article 2022

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A generalized Kalman filter with its precision in recursive form when the stochastic model is misspecified

Teunissen, P.J.G. (author), Khodabandeh, A. (author), Psychas, D.V. (author)

In this contribution, we introduce a generalized Kalman filter with precision in recursive form when the stochastic model is misspecified. The filter allows for a relaxed dynamic model in which not all state vector elements are connected in time. The filter is equipped with a recursion of the actual error-variance matrices so as to provide an...

journal article 2021

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Graph-time signal processing: Filtering and sampling strategies

Isufi, E. (author)

The necessity to process signals living in non-Euclidean domains, such as signals defined on the top of a graph, has led to the extension of signal processing techniques to the graph setting. Among different approaches, graph signal processing distinguishes itself by providing a Fourier analysis of these signals. Analogously to the Fourier...

doctoral thesis 2019

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Full-field response monitoring in structural systems driven by a set of identified equivalent forces

Lourens, E. (author), Fallais, D.J.M. (author)

Kalman-type filters for coupled input-state estimation can be used to estimate the full-field dynamic response of structures from only a limited set of vibration measurements. The use of these coupled estimators allows for response prediction to be performed in the absence of any knowledge of both the dynamic evolution and spatial...

journal article 2019

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Tensor network Kalman filter for LTI systems

Gedon, Daniel (author), Piscaer, P.J. (author), Batselier, K. (author), Smith, C.S. (author), Verhaegen, M.H.G. (author)

An extension of the Tensor Network (TN) Kalman filter [2], [3] for large scale LTI systems is presented in this paper. The TN Kalman filter can handle exponentially large state vectors without constructing them explicitly. In order to have efficient algebraic operations, a low TN rank is required. We exploit the possibility to approximate the...

conference paper 2019

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Inverse identification of buffeting and self-excited wind loads on the hardanger bridge from acceleration data

Petersen, Oyvind W. (author), Øiseth, Ole (author), Nord, Torodd Skjerve (author), Lourens, E. (author)

The traditional wind load assessment for long-span bridges rely on assumed models for the wind field and aerodynamic coefficients from wind tunnel tests, which usually introduces some uncertainties. It is therefore desired to develop tools that can utilize full-scale vibration response data from existing bridges in order to study the wind...

conference paper 2019

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Estimation of the full-field dynamic response of a floating bridge using Kalman-type filtering algorithms

Petersen, Oyvind W. (author), Øiseth, Ole (author), Nord, Torodd S. (author), Lourens, E. (author)

Numerical predictions of the dynamic response of complex structures are often uncertain due to uncertainties inherited from the assumed load effects. Inverse methods can estimate the true dynamic response of a structure through system inversion, combining measured acceleration data with a system model. This article presents a case study of...

journal article 2018

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Spatio-temporal field estimation using kriged kalman filter (KKF) with sparsity-enforcing sensor placement

Roy, V. (author), Simonetto, A. (author), Leus, G.J.T. (author)

We propose a sensor placement method for spatio-temporal field estimation based on a kriged Kalman filter (KKF) using a network of static or mobile sensors. The developed framework dynamically designs the optimal constellation to place the sensors. We combine the estimation error (for the stationary as well as non-stationary component of the...

journal article 2018

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On the use of equivalent forces for structural health monitoring based on joint input-state estimation algorithms

Lourens, E. (author), Fallais, D.J.M. (author)

For the monitoring of large structures where the loading is typically characterized by large uncertainties in temporal and/or spatial evolution, algorithms capable of estimating a set of response driving equivalent forces are strongly desired. In this context, several Kalman-type coupled input-state and coupled input-state-parameter filters...

conference paper 2017