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Martin Ulriksen
Martin Ulriksen
Associate Professor, Dept. of Mechanical Engineering, Aarhus University
Geverifieerd e-mailadres voor mpe.au.dk
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Jaar
Operational modal analysis and wavelet transformation for damage identification in wind turbine blades
MD Ulriksen, D Tcherniak, PH Kirkegaard, L Damkilde
Structural Health Monitoring 15 (4), 381-388, 2016
672016
Damage detection in an operating Vestas V27 wind turbine blade by use of outlier analysis
MD Ulriksen, D Tcherniak, L Damkilde
2015 IEEE Workshop on Environmental, Energy, and Structural Monitoring …, 2015
472015
Statistical methods for damage detection applied to civil structures
S Gres, MD Ulriksen, M Döhler, RJ Johansen, P Andersen, L Damkilde, ...
Procedia engineering 199, 1919-1924, 2017
432017
A case study on risk-based maintenance of wind turbine blades with structural health monitoring
JS Nielsen, D Tcherniak, MD Ulriksen
Structure and Infrastructure Engineering 17 (3), 302-318, 2021
402021
Structural damage localization by outlier analysis of signal-processed mode shapes–Analytical and experimental validation
MD Ulriksen, L Damkilde
Mechanical Systems and Signal Processing 68, 1-14, 2016
332016
In-situ damage localization for a wind turbine blade through outlier analysis of stochastic dynamic damage location vector-induced stress resultants
MD Ulriksen, D Tcherniak, LM Hansen, RJ Johansen, L Damkilde, ...
Structural Health Monitoring 16 (6), 745-761, 2017
26*2017
Data-driven model updating of an offshore wind jacket substructure
D Augustyn, U Smolka, UT Tygesen, MD Ulriksen, JD Sørensen
Applied Ocean Research 104, 102366, 2020
242020
Output feedback in the design of eigenstructures for enhanced sensitivity
D Bernal, MD Ulriksen
Mechanical Systems and Signal Processing 112, 22-30, 2018
232018
Reliability Updating of Offshore Wind Substructures by Use of Digital Twin Information
D Augustyn, MD Ulriksen, JD Sørensen
Energies 14 (18), 5859, 2021
222021
Shaped input distributions for structural damage localization
MD Ulriksen, D Bernal, L Damkilde
Mechanical Systems and Signal Processing 110, 499-508, 2018
222018
Damage Localization for Structural Health Monitoring: An Exploration of Three New Vibration-based Schemes
MD Ulriksen
Aalborg Universitetsforlag, 2018
202018
The effect of environmental and operational variabilities on damage detection in wind turbine blades
T Bull, MD Ulriksen, D Tcherniak
9th European Workshop on Structural Health Monitoring, 2018
172018
Feasibility of modal expansion for virtual sensing in offshore wind jacket substructures
D Augustyn, RR Pedersen, UT Tygesen, MD Ulriksen, JD Sørensen
Marine Structures 79, 103019, 2021
132021
Cointegration for detecting structural blade damage in an operating wind turbine: An experimental study
BA Qadri, MD Ulriksen, L Damkilde, D Tcherniak
Dynamics of Civil Structures, Volume 2: Proceedings of the 37th IMAC, A …, 2020
132020
Data-driven design and operation of offshore wind structures
D Augustyn, UT Tygesen, MD Ulriksen, JD Sørensen
ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-19-618, 2019
132019
Subspace exclusion zones for damage localization
D Bernal, MD Ulriksen
Mechanical Systems and Signal Processing 14, 120-127, 2019
132019
On structural health monitoring of wind turbine blades
JF Skov, MD Ulriksen, KA Dickow, PH Kirkegaard, L Damkilde
Key Engineering Materials 569, 628-635, 2013
132013
On the use of complex gains in virtual feedback for model updating
MD Ulriksen, D Bernal
International Conference on Structural Engineering Dynamics (ICEDyn) 2019, 69, 2019
112019
A comparison of damage detection methods applied to civil engineering structures
S Gres, P Andersen, RJ Johansen, MD Ulriksen, L Damkilde
Experimental Vibration Analysis for Civil Structures: Testing, Sensing …, 2018
72018
Self-deployable deorbiting space structure for active debris removal
AS Kristensen, MD Ulriksen, L Damkilde
Journal of Spacecraft and Rockets 54 (1), 323-326, 2017
72017
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Artikelen 1–20