Identification of equivalent wind and wave loads for monopile-supported offshore wind turbines in operating condition

J Liang, Y Fu, Y Wang, J Ou - Renewable Energy, 2024 - Elsevier
Wind and wave loads are critical to monopile-supported offshore wind turbines (OWTs) in
determining whether OWTs are in safe conditions to generate electricity. However, these …

Performances of a family of new sequential Bayesian filters for input estimation

J Ghibaudo, M Aucejo, O De Smet - Mechanical Systems and Signal …, 2023 - Elsevier
During their lifetime, structures are usually subjected to some mechanical shocks that
generate high levels of vibration that can damage the structure itself as well as the …

Assessment of alternative covariance functions for joint input-state estimation via Gaussian Process latent force models in structural dynamics

S Vettori, E Di Lorenzo, B Peeters, E Chatzi - Mechanical Systems and …, 2024 - Elsevier
Digital technologies can be used to gather accurate information about the behavior of
structural components for improving systems design, as well as for enabling advanced …

Discussing the spectra of physics-enhanced machine learning via a survey on structural mechanics applications

M Haywood-Alexander, W Liu, K Bacsa, Z Lai… - CoRR, 2023 - openreview.net
The intersection of physics and machine learning has given rise to the physics-enhanced
machine learning (PEML) paradigm, aiming to improve the capabilities and reduce the …

A Model‐Based Bayesian Inference Approach for On‐Board Monitoring of Rail Roughness Profiles: Application on Field Measurement Data of the Swiss Federal …

CD Stoura, VK Dertimanis, C Hoelzl… - … Control and Health …, 2023 - Wiley Online Library
According to the International Union of Railways, railway networks count more than one
million kilometers of tracks worldwide, a number that is to rise further as the goal is to …

On the consistent classification and treatment of uncertainties in structural health monitoring applications

A Kamariotis, K Vlachas… - … -ASME Journal of …, 2025 - asmedigitalcollection.asme.org
In this paper, we provide a comprehensive definition and classification of various sources of
uncertainty within the fields of structural dynamics, system identification, and structural …

A switching Gaussian process latent force model for the identification of mechanical systems with a discontinuous nonlinearity

L Marino, A Cicirello - Data-Centric Engineering, 2023 - cambridge.org
An approach for the identification of discontinuous and nonsmooth nonlinear forces, as
those generated by frictional contacts, in mechanical systems that can be approximated by a …

[HTML][HTML] Model-based Imitation Learning from Observation for input estimation in monitored systems

W Liu, Z Lai, CD Stoura, K Bacsa, E Chatzi - Mechanical Systems and …, 2025 - Elsevier
In the context of structural and industrial asset monitoring and twinning, the estimation of
unknown inputs–typically reflecting the loads acting onto a system–stands as a critical factor …

Bayesian finite element model inversion of offshore wind turbine structures for joint parameter-load estimation

M Valikhani, M Nabiyan, M Song, V Jahangiri… - Ocean …, 2024 - Elsevier
Operating in harsh and unsteady marine environment, offshore wind turbine (OWT)
structures are exposed to unpredictable wind and wave loads. Identifying the structural …

Virtual sensing via Gaussian Process for bending moment response prediction of an offshore wind turbine using SCADA data

B Moynihan, EM Tronci, MC Hughes, B Moaveni… - Renewable Energy, 2024 - Elsevier
Offshore wind turbines (OWTs) can be equipped with two types of monitoring systems:(1) a
Supervisory Control and Data Acquisition (SCADA) system that monitors operational data …