Publikationen
2024
- 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.
- BRETTSCHNEIDER, J., KRAEMER, P., 2024: Analytical and experimental analysis of guided waves in an aluminum plate under bending load, Ultrasonics, Vol. 141, https://doi.org/10.1016/j.ultras.2024.107324.
- KRAEMER,. P., EBERT, C., FRIEDMANN, H., 2024: Systems for Structural Health Monitoring - from the idea to the product, Key-Note Speech, 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam.
- KRAEMER,. P., 2024: Structural Health Monitoring von Windenergieanlagen - Aktueller Stand und Perspektiven, VDI Fachausschuss 101 - Anwendungsnahe zerstörungsfreie Werkstoff- und Bauteilprüfung, eingeladener Vortrag auf TUM-Expertenforum 2024 am 11.09.2024, München.
- KRAEMER,. P., WIEMANN, M., KAPPEL, J., BONEKEMPER, L., FRIEDMANN, H., HUHN, H., 2024: Experiences from In-Situ monitoring of (offshore) wind turbines - from sensor installation to data driven modelling of the dynamical behavior, Vibration of Wind Turbines 2024, Hamburg.
- ADAM, T,. LAMBAT, M., KRAEMER,. P., 2024: Robust Structural Health Monitoring of CFRP Structures under Varying Loads using NSFD and Machine Learning with Combined Usage of Acceleration and Strain Data, 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam.
- DREISBACH, A.-L., C.-P- FRITZEN, KRAEMER, P., 2024: Monitoring of the preload in bolted connections with piezoelectric wafer active sensors, 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam.
- SHARMA, S., RICHTER, W., BERTELMANN, P., KRAEMER, P., 2024: Enhancing predictive maintenance in contour cutting machines: a similarity-based approach for band blade remaining useful life estimation and early fault detection, 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam.
- LI, D., HUANG, J., YAN, C., KRAEMER, P., 2024: Thrust and bending moment estimation of an operating 2.5 MW wind turbine tower with accelerator and satellite positioning data, 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam.
- MAETZ, T., KAPPEL, J., WIEMANN, M., BERGMANNSHOFF, D., HÄGELEN, M., SCHMIDT, M., KÄSGEN., J., JACKEL., M., KRAEMER, P., KROZER. V., 2024: Microwave-Based Health Monitoring of Grouted Connections in Offshore Wind Turbines: Insights from Laboratory Fatigue Testing, 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam.
- HARDES, C., MOLL, J., KRAEMER, P., SHCUBERT, L., WEIDENFELLER, J., KRESS, K., 2024: Economic and Ecological Benefits of SHM Techniques in Chemical Process Industry, 11th European Workshop on Structural Health Monitoring, EWSHM 2024, Potsdam.
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.