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Publikationen

 
 

 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.
  • WIEMANN, M., KRAEMER, P. und BONEKEMPER, L., 2020, Finding of optimal set-up parameters and signal pre-processing techniques for Automated Operational Modal Analysis, 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 waggonFindings 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.