SEGURA, C. C., EBERT, C. and KRAEMER, P., 2024: Structural Health Monitoring (Chapter 8, pp.381-410), in Wind Turbine System Design (Vol. 2), Ed. Jan Wenske, The Institution of Engineering and Technology, London.
2023
MAETZ, T., KAPPEL, J., WIEMANN, M., BERGMANNSHOFF, D., HÄGELEN, M., JETTEN, R., SCHMIDT, M., KÄSGEN, J., JACKEL, M., MOLL, J., KRAEMER, P. und KROZER, V., 2023, Microwave Structural Health Monitoring of the groutet connection of a monopile-based offshore wind turbine: Fatigue testing using a scaled Laboratory Demonstrator, Structural Control and Monitoring, (Vol. 2023), Article ID 1981892, https://doi.org/10.1155/2023/1981892.
MAETZ, T., HÄGELEN, M., JETTENY, R., KÄSGEN, J., WIEMANN, M., JÄCKEL, M., KAPPEL, J., MOLL, J., KRAEMER, P., KROZER, V., HUHN, H., 2023, In-Situ Monitoring of Grouted Joints Using a SFCW Radar: Initial Results of an Installation Inside a 3.6 MW Offshore Wind Turbine, 17th European Conferende on Antennas and Propagation, accepted.
STEINBACH, K., LECHLER, D., GROSS, I., REITH, D. und KRAEMER, P., 2023, NVH Simulation and Validation of eBike Drive Units, NAFEMS World Congress 2023, Florida, USA.
FRIEDMANN, H., KRAEMER, P., SCHMIDT, C., NUBER, A. und ADAM, T., 2023, Combined Acoustic and Modal Structural Health Monitoring and Structural Assessment, 14th International Workshop on Structural Health Monitoring, IWSHM 2023, Stanford University, USA.
FRIEDMANN, H., KRAEMER, P., SCHMIDT, C., BONEKEMPER, L. und WIEMANN, M., 2023, Wind turbines with optimized productivity through fleet monitoring without additional sensor technology, 14th International Workshop on Structural Health Monitoring, IWSHM 2023, Stanford University, USA.
KAPPEL, J., WIEMANN, M., KRAEMER, P., MOLL, J., MAETZ, T., KÄSGEN, J., JACKEL, M. und HUHN, H., 2023, Development and installation of a robust and reliable research structural health monitoring system for grouted joints of offshore wind turbines, 14th International Workshop on Structural Health Monitoring, IWSHM 2023, Stanford University, USA.
WIEMANN, M., BONEKEMPER, L., KAPPEL, J. und KRAEMER, P., 2023, Separation of physical from mathematical poles in operational modal analysis using reduced, reassembled covariance matrices, 14th International Workshop on Structural Health Monitoring, IWSHM 2023, Stanford University, USA.
DREISBACH, A.-L., KRAEMER, P., C.-P- FRITZEN, 2023, Monitoring of bolted joints with electromechanical impedance spectra and acousto ultrasonics, 14th International Workshop on Structural Health Monitoring, IWSHM 2023, Stanford University, USA.
WIEMANN, M., BONEKEMPER, L. und KRAEMER, P., 2023, Removal of effects from periodic excitation on Operational Modal Analysis using Spectral Kurtosis and Fourier Series, 10th ECCOMAS Thematic Conference on Smart Structures and Materials, SMART 23, Patras, Greece.
BONEKEMPER, L., WIEMANN, M. und KRAEMER, P., 2023, Advanced clustering of environmental and operational conditions of offshore wind turbines using Self-Organizing Maps, 10th ECCOMAS Thematic Conference on Smart Structures and Materials, SMART 23, Patras, Greece.
SHARMA, S., WIEMANN, M. und KRAEMER, P., 2023, Data Generation using Digital Twins for the Development of Condition Monitoring Algorithms – Application on Rolling Element Bearings, 10th ECCOMAS Thematic Conference on Smart Structures and Materials, SMART 23, Patras, Greece.
STEINBACH, K., LECHLER, D., KRAEMER, P., GROSS, I: und REITH, I., 2023, A Novel Approach to Predict the Structural Dynamics of E-Bike Drive Units by Innovative Integration of Elastic Multi-Body-Dynamics, Vehicles 2023, 5, S. 1227–1253, https://doi.org/10.3390/vehicles5040068.
2022
ADAM, T,. and KRAEMER,. P., 2022, Application of Nullspace-Based Fault Detection to an Aircraft Structural Part Under Changing Excitation, European Workshop on Structural Health Monitoring, EWSHM 2022, S.784-792, DOI:10.1007/978-3-031-07258-1_79.
PAK, D., NELLES, O., KRAEMER, P. and KAMPMANN, G., 2022, A Structural Health Monitoring Approach for Rail Fastening Systems, In RAIL2022: Fifth International Conference on Railway Technology. Montpellier, France Elsevier.
JUNG, H., NELLES, O., KRAEMER, P., WEINBERG, K., KAMPMANN, G. und FRITZEN, C.-P., 2020, Automatic System Identification for Robust Fault Detection of Railway Suspensions, In RAIL2022: Fifth International Conference on Railway Technology. Montpellier, France Elsevier.
2021
GUO, X., LI, D., GUO, P. und KRAEMER, P., 2021, Mode localization in linear and periodically time‐varying mistuned wind rotor, Wind Energy, S. 1–12, https://doi.org/10.1002/we.2618.
YOKARIBAS, V., KRAEMER, P., MENDE, A.B., RUHKOPF, J., LEMME M. C., FRITZEN, C.-P., 2021, Novel Methodologies for Multiaxial Strain Measurements with Piezoresistive Films based on Graphene Nanoplatelets, Small Science Journal, https://doi.org/10.1002/smsc.202100088.
2020
BONEKEMPER L., WIEMANN M., KRAEMER P., Automated set-up parameter estimation and result evaluation for SSI-Cov-OMA. Vibroengineering PROCEDIA, Vol. 34, 2020, p. 43-49. https://doi.org/10.21595/vp.2020.21742
BRETTSCHNEIDER, J., KRAEMER, P., KUDELA, P. and MOLL, J., 2020, Damage detection with ultrasonic guided waves based on broadband random excitation and stochastic signal processing, 10th European Workshop on Structural Health Monitoring, University of Palermo, accepted.
ADAM, T. und KRAEMER, P., 2020, Application of Null space-based Fault Detection to an aircraft structural component under changing excitation, 10th European Workshop on Structural Health Monitoring, University of Palermo, accepted.
JUNG, H., NELLES, O., KRAEMER, P., WEINBERG, K., KAMPMANN, G. und FRITZEN, C.-P., 2020, Automatic System Identification for Robust Fault Detection of Railway Suspensions, Fifth International Conference on Railway Technology, Railways 2020, Mallorca, Spain, submitted, under review.
2019
KRAEMER, P., FRIEDMANN, H. und RICHTER, M., 2019: Vibration-based damage identification on the suspension of a railway waggon – Findings from snap-back experiments with transient excitation, International Journal of Rail Transportation, DOI: 10.1080/23248378.2019.1675190.
MÜLLER, N., KRAEMER, P., LEDUC, D. und SCHOEFS, F., 2019: FBG Sensors and Signal-Based Detection Method for Failure Detection of an Offshore Wind Turbine Grouted Connection, International Journal of Offshore and Polar Engineering, Vol. 29, No. 1, March 2019, pp. 1–7; https://doi.org/10.17736/ijope.2019.mm20.
KRAEMER, P., 2019: Intelligente Datenauswertung für die Zustandsüberwachung von (Offshore-)Windenergieanlagen - Aktueller Stand und Perspektiven im Zeitalter der Digitalisierung, Sitzung der Gesellschaft für Maritime Technologien (GMT)-Arbeitsgruppen, Offshore Windenergie und Mess- und Umwelttechnik, Hamburg.
KRAEMER, P., 2019: Überwachung von Strukturkomponenten in Windenergieanlagen, Aktueller Stand und Perspektiven, Windkraftnetworking „Strukturüberwachung von Windkraftanlagen“ bei VERBUND Wind Power Austria, Wien.
MÜLLER, N., KRAEMER, P., FRIEDMANN, H. und HÄCKELL, M., 2019, Vibration-based damage detection for grouted joints of offshore wind turbines, Proceedings of the 12th International Workshop on Structural Health Monitoring, Stanford University, USA.
KRAEMER, P., 2019: Intelligente Datenauswertung für Structural Health Monitoring - Herausforderungen und Chancen im Zeitalter der Digitalisierung, Innovationsforum smartSHM, RTWH Aachen, 20.03.2019.
KRAEMER, P., FRIEDMANN, H. und RICHTER, M., 2019, Damage identification on the leaf spring of a railway freight wagon – Findings from snap-back experiments with transient excitation, Proceedings of the 12th International Workshop on Structural Health Monitoring, Stanford University, USA.
BRETTSCHNEIDER, J., KRAEMER, P. und MOLL, J., 2019, Alternative excitation and data analysis techniques for damage detection in metallic plates, Proceedings of the 12th International Workshop on Structural Health Monitoring, Stanford University, USA.
2018
MÜLLER, N., KRAEMER, P., LEDUC, D., SCHOEFS, F., 2018,Damage detection in offshore wind turbine grouted connection by nonlinear harmonic identification, Offshore Wind R&D Conference, Bremerhaven Germany, DOI:10.13140/RG.2.2. 24179.99366.
FRIEDMANN, H., KOHLMEIER, M., KRAEMER, P., HÄCKELL, H., KREMLING, S. und A. NUBER, 2018, Large-scale Testing as a Precondition for the Development of SHM Systems, Offshore Wind R&D Conference, Bremerhaven Germany,http://www.rave-offshore.de/files/downloads/konferenz/konferenz-2018/Finale_Praesentationen/16254.pdf
KRAEMER, P., 2018: Schwingungsbasierte Zustandsüberwachung (Methodenüberblick), Fachausschuss Zustandsüberwachung der Deutschen Gesellschaft für Zerstörungsfreie Prüfung, Berlin, 23.10.2018.
2017
FRIEDMANN, H., KRAEMER, P., NUBER, A. und SCHOLZ, M., 2017, Fleet Monitoring and Site Specific Environmental and Operational Conditions in Wind Energy, 11th International Workshop on Structural Health Monitoring, Stanford University, USA, http://dpi-proceedings.com/index.php/shm2017/article/view/14148.
MÜLLER, N., KRAEMER, P., LEDUC, D., SCHOEFS, F., 2017,Fiber Bragg Grating sensors and signal based detection method for failure detection of an offshore wind turbine grouted connection, 27th International Ocean and Polar Engineering Conference, ISOPE-2017, San Francisco, https://www.onepetro.org/conference-paper/ISOPE-I-17-649.
FRIEDMANN, H., HÄCKELL, und KRAEMER, P., 2017, Entwicklung eines Structural Health Monitoring Systems für Gründungsstrukturen von Offshore Windenergieanlagen – Großversuche zum Monitoring von globaler Struktur und Grout-Fuge, Symposium für Smarte Strukturen und Systeme - 4SMART, 21-22 Juni 2017, Braunschweig, zur Veröffentlichung angenommen.
NUBER, A., FRIEDMANN, H., HÄCKELL, M., WÖLFEL, B. und KRAEMER, P., 2017, Offshore foundation monitoring – from R&D to an industrial application, 7. GIGAWIND Symposium, 2 March 2017, Leibniz Universität Hannover, zur Veröffentlichung angenommen.
2016
FELDBAUSCH, E., FRIEDMANN, H., KRAEMER, P. und SEIDEL, A., 2016: Wavelet-Analyse der gekoppelten MKS-FEM-Simulation einer Lokomotive, 3. NAFEMS Konferenz: Berechnung und Simulation - Anwendungen, Entwicklungen, Trends, 25.-27. April 2016, Bamberg, S. 362-365.
KRAEMER, P. und FRIEDMANN, H., 2016: Experimental validation of stochastic subspace algorithms for structural health monitoring of offshore wind turbine towers and foundations, 8th European Workshop on Structural Health Monitoring, Bilbao, Spain, http://www.ndt.net/?id=20058.
FRIEDMANN, H. und KRAEMER, P., 2016: Condition monitoring, structural health monitoring, population monitoring – Approach to a definition of the different concepts by means of practical examples from the field of wind energy, 8th European Workshop on Structural Health Monitoring, Bilbao, Spain, http://www.ndt.net/?id=20099.
SCHOLZ, M., REDISKE, S., MOLL, J., KRAEMER, P. und FRIEDMANN, H., 2016: Radar-Based Non-Destructive Testing of Wind Turbine Blades: First Experiments from a Laboratory Study, 8th European Workshop on Structural Health Monitoring, Bilbao, Spain, accepted, http://www.ndt.net/?id=20066.
MOLL, J., KROZER, V., ARNOLD, P., DÜRR, M., ZIMMERMANN, R., SALMAN, R., HÜBSCH, D., POZDNIAKOV, D., FRIEDMANN, H., NUBER, A., SCHOLZ, M. und KRAEMER, P., 2016, Radar-based Structural Health Monitoring of Wind Turbine Blades, 19thWorld Conference on Non-Destructive Testing 2016.
FRIEDMANN, H., KRAEMER, P., EBERT, C. und KOHLMEIER, M., 2016: Entwicklung eines Structural Health Monitoring Systems für Gründungsstrukturen von Offshore Windenergieanlagen - Großversuch zur Ermittlung messtechnischer Grundlagen, Messen in der Geotechnik 2016, 17.-18.03.2016 in Braunschweig, Mitteilungen des Instituts für Grundbau und Bodenmechanik, Heft 101, ISBN: 3-927 610-93-3, Technische Universität Braunschweig, S. 309-325.
SPILL, S., KOHLMEIER, M., KRAEMER, P., FRIEDMANN, H., 2016: Messtechnische und numerische Untersuchungen an einvibrierten, lateral beanspruchten Stahlrohrpfählen, Messen in der Geotechnik 2016, 17.-18.03.2016 in Braunschweig, Mitteilungen des Instituts für Grundbau und Bodenmechanik, Heft 101, ISBN: 3-927 610-93-3, Technische Universität Braunschweig, S. 291-308.
2015
KRAEMER, P. und FRIEDMANN, H., 2015: Vibration-based structural health monitoring for offshore wind turbines structures – Experimental validation of stochastic subspace algorithms, Wind and Structures, An International Journal, Vol. 21(6), S. 693-707.
KRAEMER, P., FRIEDMANN, H. und EBERT, C., 2015: Vibration-based Ice Detection of Rotor Blades in Wind Turbines—The Industrial Realization of an SHM-System, 10th International Workshop on Structural Health Monitoring, Stanford University, USA, S. 2841-2848.
BÜLK, M., GÜLZAU, H., LAUTENSCHLAGER, F., KRAEMER, P., EBERT, C. und FRESE, T., 2015: Assessment of a vibration based ice detection system using multi body simulation, 6. VDI-Fachtagung “Schwingungen von Windenergieanlagen”, 16-17 Juni 2015, Bremen, Germany.
2014
FRIEDMANN, H., KRAEMER, P. und EBERT, C., 2014: Structural Health Monitoring von Offshore Windenergieanlagen auf der Grundlage von Schwingungsmessungen – Von der Blattüberwachung zum Monitoring der Gesamtanlage, Plus 11, S. 2445-2451.
KRAEMER, P. und EBERT, C., 2014: Schwingungsbasierte Erkennung von Strukturveränderungen in der Theorie und Praxis, VDI-Berichte 2227, VDI-Fachtagung "Schwingungsüberwachung", Leonberg, S. 165-176.
FRIEDMANN, H., KRAEMER, P. und EBERT C., 2014: Vibration Based Structural Health Monitoring (SHM) for Offshore Wind turbines – From Monitoring the Blades to a Concept for Foundation Structures, International Wind Energy Conference, Hannover, Germany.
FRITZEN, C.-P., MOLL, J., CHAABAN, R., ECKSTEIN, B., KRAEMER, P., KLINKOV, M., DIETRICH, G., YANG, C., XING, K. und BÜTHE, I., 2014: A Multifunctional device for multi-channel EMI and guided wave propagation measurements with PWAS, 7th European Workshop on Structural Health Monitoring, Nantes, France, S 1032-1039.
FRITZEN, C.-P. und KRAEMER, P., 2014: Monitoring of Wind Energy Plants – Challenges and State of the Art, 7th European Workshop on Structural Health Monitoring, Nantes, France.
2013
FRITZEN, C.-P., KLINKOV, M. und KRAEMER, P., 2013: Vibration-Based Damage Diagnosis and Monitoring of External Load (Band 542), in New Trends in Structural Health Monitoring, Springer.
FRITZEN, C.-P., KRAEMER, P. und BÜTHE, I., 2013: Vibration-based Damage Detection under Changing Environmental and Operational Conditions, Advances in Science and Technology (Band 83), S. 95-104.
EBERT, C., KRAEMER, P. und LÖWE, A., 2013: Zuverlässige Eiserkennung an Rotorblättern, VDI-Berichte 2200, 4. VDI-Fachtagung "Schwingungen von WEA", Bremen, S. 215-221.
2012
BÜTHE, I., KRAEMER, P. und FRITZEN, C.-P., 2012: Applications of Self-Organizing Maps in Structural Health Monitoring, Key Engineering Materials, Trans Tech Publications, Switzerland (Band 518), S. 37-46.
NIU, Y., KRAEMER, P. und FRITZEN, C.-P., 2012: Operational modal analysis for the Canton Tower, Journal of Smart Structure & Systems (Band 10), S. 393-410.
FRIEDMANN, H., EBERT, C. und KRAEMER, P., 2012: Komplette Rotorblätter überwachen, Konstruktionspraxis Spezial – 2012 in "Windkraftkonstruktion" (Mechanische Komponenten), Vogel Business Media GmbH + Co. KG, S. 34-35.
PANKOKE S., KRAEMER, P. und EBERT C., 2012: Rotorblatt-Monitoring mit Stochastic Subspace Identification,Deutsche Windenergie Konferenz, DEWEK2012, Bremen, Germany.
FRIEDMANN, H., EBERT, C.; KRAEMER, P. und FRANKENSTEIN, B., 2012: SHM of Floating Offshore Wind Turbines - Challenges and First Solutions, 6th European Workshop on Structural Health Monitoring, Dresden.
2011
KRAEMER, P., 2011: Schadensdiagnoseverfahren für die Zustandsüberwachung von Offshore-Windenergieanlagen, Dissertation, Universität Siegen.
PAPADIMITRIOU, C.; FRITZEN, C.-P.; KRAEMER, P. und NTOTSIOS, E., 2011: Fatigue predictions in entire body of metallic structures from a limited number of vibration sensors using Kalman filtering, Journal of International Association for Structural Control and Monitoring, (Band 18), S. 554-573.
KRAEMER, P.; BÜTHE, I. und FRITZEN, C.-P., 2011: Damage detection under changing operational and environmental conditions using self organizing maps, Proc. of SMART 2011, Saarbrücken.
NIU, Y., KRAEMER, P. und FRITZEN, C.-P., 2011: Operational Modal Analysis for the Guangzhou New TV Tower, IMAC XXIX, Jacksonville, Florida, US.
2010
KRAEMER, P. und FRITZEN, C.-P., 2010: Aspects of Operational Modal Analysis for Structures of Offshore Wind Energy Plants, Structural Dynamics and Renewable Energy, Conference Proceedings of the Society for Experimental Mechanics, IMAC XXVIII, S. 145-152.
KRAEMER, P.; BÜTHE, I. und FRITZEN, C.-P., 2010: Damage detection under variable environmental conditions using Self Organizing Maps, IMEKO TC,11th Workshop on Smart Diagnostics of Structures, Kraków, Poland.
KRAEMER, P. und FRITZEN, C.-P., 2010: Vibration analysis for structures of offshore wind energy plants, Deutsche Windenergie Konferenz, DEWEK2010, Bremen, Germany.
FRITZEN, C.-P.; KRAEMER, P. und KLINKOV, M., 2010: An Integrated SHM Approach for Offshore Wind Energy Plants, IMAC XXVIII, Jacksonville, Florida, USA.
FRITZEN, C.-P.; KRAEMER, P. und KLINKOV, M., 2010: Schwingungsbasierte Schadensdiagnose für Offshore-Windenergieanlagen, VDI Tagung "Schwingungsanalyse & Identifikation". Leonberg, Germany, S. 183-194.
2009
FRITZEN, C.-P. und KRAEMER, P., 2009: Self-diagnosis of smart structures based on dynamical properties, Mechanical Systems and Signal Processing (Band 23), S. 1830–1845.
PAPADIMITRIOU, C.; FRITZEN, C.-P.; KRAEMER, P. und NTOTSIOS, E., 2009: Fatigue Lifetime Estimation in Structures using Ambient Vibration Measurements, COMPDYN 2009, Rhodes, Greece.
2008
KRAEMER, P. und FRITZEN, C.-P., 2008: Sensor Fault Detection and Signal Reconstruction using Mutual Information and Kalman Filters, International Conference on Noise and Vibration Engineering, Leuven, Belgium, S. 3267-3282.
KRAEMER, P. und FRITZEN, C.-P., 2008: Damage Identification of Structural Components of Offshore Wind Energy Plants, Deutsche Windenergie Konferenz, DEWEK2008, Bremen, Germany.
KRAEMER, P.; LAUTENSCHLAGER, D.; FRITZEN, C.-P. und OERTEL, U., 2008: Condition Monitoring Methods for Machine and Drive Train Components of Wind Energy Plants, Deutsche Windenergie Konferenz DEWEK2008, Bremen, Germany.
MOLL, J., KRAEMER, P. und FRITZEN, C.-P., 2008: Compensation of Environmental Influences for Damage Detection using Classification Techniques, 4th European Workshop on Structural Health Monitoring, Cracow, Poland, S. 1080-1087.
FRITZEN, C.-P. und KRAEMER, P., 2008: Vibration-Based Structural Health Monitoring – Current Status and Future Perspectives, International Conference on Modern Materials and Technologies (CIMTEC 2008), Acireale, Sicily, Italy.
FRITZEN, C.-P., BOHLE, K. und KRAEMER, P., 2008: Health Monitoring of Civil Structures Using Output-Only Data, IMAC XXVIII, Orlando, Florida, USA.
FRITZEN, C.-P., KRAEMER, P. und KLINKOV, M., 2008: Structural Health Monitoring of Offshore Wind Energy Plants, 4th European Workshop on Structural Health Monitoring, Cracow, Poland, S. 3-21.
2007
KRAEMER, P. und FRITZEN, C.-P., 2007: Sensor Fault Identification Using Autoregressive Models and the Mutual Information Concept, Key Engineering Materials, Trans Tech Publications, Switzerland, S. 387-392.
KRAEMER, P. und FRITZEN, C.-P., 2007: Concept for Structural Damage Identification of Offshore Wind Energy Plants, 6th International Workshop on Structural Health Monitoring, Stanford University, S. 1881-1888.
FRITZEN, C.-P. und KRAEMER, P., 2007: Methods for self-diagnosis of smart structures based on dynamical properties, 11th International Workshop on smart materials and structures, Montreal, Canada.
FRITZEN, C.-P.; KRAEMER, P. und XING, K. J., 2007: Damage Detection and Localization using Time Domain Residuals, World Forum on Smart Materials and Smart Structures Technology, Chongqing & Nanjing, P.R. China.
