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Martin Ulriksen
Martin Ulriksen
Associate Professor, Dept. of Mechanical Engineering, Aarhus University
Verified email at mpe.au.dk
Title
Cited by
Cited by
Year
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
392021
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
232020
Output feedback in the design of eigenstructures for enhanced sensitivity
D Bernal, MD Ulriksen
Mechanical Systems and Signal Processing 112, 22-30, 2018
232018
Shaped input distributions for structural damage localization
MD Ulriksen, D Bernal, L Damkilde
Mechanical Systems and Signal Processing 110, 499-508, 2018
222018
Reliability Updating of Offshore Wind Substructures by Use of Digital Twin Information
D Augustyn, MD Ulriksen, JD Sørensen
Energies 14 (18), 5859, 2021
202021
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
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
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
122021
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
122020
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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