Rotor Condition Monitoring for Improved Operational Safety of Offshore Wind Energy Converters-Reference-Cited by-同舟云学术

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

Published:2005-04-25 Issue:2 Volume:127 Page:253-261
ISSN:0199-6231
Container-title:Journal of Solar Energy Engineering
language:en
Short-container-title:

Author:

Caselitz Peter¹,Giebhardt Jochen¹

Affiliation:

1. Institute for Solar Energy Supply Technology (ISET), Division of Energy Conversion and Control Engineering, Ko¨nigstor 59, D-34119 Kassel, Germany

Abstract

Background: Due to cost effectiveness and operational safety online monitoring of rotor blades is recommended, especially for offshore wind energy converters. Method of Approach: Statistic evaluation of wind speed and power output of a wind energy converter is used to monitor the overall rotor performance including increased blade surface roughness. Nacelle oscillation spectral analysis methods are applied to monitor the rotor faults mass imbalance and aerodynamic asymmetry. Results: Results of ISET’s research work related to online rotor condition monitoring are presented. A description of the fault effects on the rotor, the sensor and data acquisition equipment and a description of the developed signal processing and fault prediction algorithms are given. The paper also presents results from experiments and field tests. Conclusions: The developed algorithms have been verified due to their monitoring capabilities and suitability in commercial online condition monitoring systems.

Publisher

ASME International

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Link

http://asmedigitalcollection.asme.org/solarenergyengineering/article-pdf/127/2/253/5713373/253_1.pdf

Reference7 articles.

1. Oppenheim, A. V., and Schafer, R., 1989, Discrete-Time Signal Processing, Prentice–Hall, Englewood Cliffs, NJ.

2. Patton, R. J., Frank, R. J., and Clark, P. M., 1989, Fault Diagnosis in Dynamic Systems, Theory and Application, Prentice–Hall, Englewood Cliffs, NJ.

3. 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.

4. Bothe, H., 1995, Fuzzy-Logic, Springer-Verlag, Berlin, Germany.

5. Caselitz, P., Giebhardt, J., Kru¨ger, T., and Mevenkamp, M., 1996, “Development of a Fault Detection System for Wind Energy Converters,” Proceedings of the EUWEC 1996, Go¨teborg, Sweden, pp. 1004–1007 Internet download: http://www.iset.uni-kassel.de/abt/FB-E/public/ffe/ffe_euwec_96_dl.pdf

Cited by 94 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improving the gravity-rotation-excited vibration energy harvesting in offset configurations;International Journal of Mechanical Sciences;2023-04

2. A dynamic threshold method for wind turbine fault detection based on spatial-temporal neural network;Journal of Renewable and Sustainable Energy;2022-09

3. A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis;Proceedings of the IEEE;2022-06

4. Hybrid energy harvesting for self-powered rotor condition monitoring using maximal utilization strategy in structural space and operation process;Applied Energy;2022-05

5. A hybrid LSTM-KLD approach to condition monitoring of operational wind turbines;Renewable Energy;2022-01