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Article

Rotor Condition Monitoring for Improved Operational Safety of Offshore Wind Energy Converters

[+] Author and Article Information
Peter Caselitz, Jochen Giebhardt

Institute for Solar Energy Supply Technology (ISET), Division of Energy Conversion and Control Engineering, Königstor 59, D-34119 Kassel, Germanye-mail: dce@iset.uni-kassel.de

J. Sol. Energy Eng 127(2), 253-261 (Apr 25, 2005) (9 pages) doi:10.1115/1.1850485 History: Received May 21, 2004; Revised September 27, 2004; Online April 25, 2005
Copyright © 2005 by ASME
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References

Oppenheim, A. V., and Schafer, R., 1989, Discrete-Time Signal Processing, Prentice–Hall, Englewood Cliffs, NJ.
Patton, R. J., Frank, R. J., and Clark, P. M., 1989, Fault Diagnosis in Dynamic Systems, Theory and Application, Prentice–Hall, Englewood Cliffs, NJ.
Thomsen, K., Rasmussen, F., O̸ye, S., and Petersen, S. M., 1993, “Loads and Dynamics for Stall Regulated Wind Turbines,” Report Risø-R-655(EN), Risø National Laboratory, Denmark.
Bothe, H., 1995, Fuzzy-Logic, Springer-Verlag, Berlin, Germany.
Caselitz, P., Giebhardt, J., Krüger, T., and Mevenkamp, M., 1996, “Development of a Fault Detection System for Wind Energy Converters,” Proceedings of the EUWEC 1996, Göteborg, Sweden, pp. 1004–1007 Internet download: http://www.iset.uni-kassel.de/abt/FB-E/public/ffe/ffe_euwec_96_dl.pdf
Meybert, S., 1998, “Mehrkriterielle Alarmierung für die Fehlerfrüherkennung in Windkraftanlagen mittels Trendanalyse und Fuzzy-Klassifikation,” Diploma thesis (in German), ISET, Germany.
Caselitz, P., Giebhardt, J., and Kewitsch, R., 1999, “Advanced Condition Monitoring System for Wind Energy Converters,” Proceedings of the EWEC 1999, Nice, France Internet download http://www.iset.uni-kassel.de/abt/FB-E/public/ffe/ffe_ewec_99_dl.pdf

Figures

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Simplified model of rotor mass imbalance
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Relation of thrust and angle of attack for a blade profile
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Sensor configuration for measurement of nacelle oscillations
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Power characteristic of a 600 kW wind energy converter with absolute and calculated alarm limits
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Monitoring of complex spectral components with a circle shaped alarm limit
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(a) Five subsequent time series (900 s each) of electrical power output, (b) the respective 1p amplitudes of the transverse tower oscillation, and (c) the respective 1p amplitudes of the torsion tower bending moment
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Acceleration signal spectra of a 600 kW wind energy converter with constant speed
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Complex spectral components of nacelle oscillation at 1p frequency
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1p transverse oscillation amplitudes versus active power output of a 1000 kW wind energy converter
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1p axial oscillation amplitudes versus active power output of a 1000 kW wind energy converter

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