Wind turbine performance assessment using multi-regime modeling approach

Renewable Energy

Volumn 45, Issue , 2012, Pages 86-95

  Lapira, Edzel ^a   Brisset, Dustin ^a   Davari Ardakani, Hossein ^a   Siegel, David ^a   Lee, Jay ^a  

^a 705 Engineering Research Center   (United States)

Author keywords

Multi regime modeling; Prognostics health management; Wind turbine performance assessment

Indexed keywords

ACOUSTIC EMISSION SIGNAL; DATA STORAGE CAPACITY; FREQUENCY DOMAINS; HEALTH MANAGEMENT SYSTEMS; HIGH FREQUENCY DATA; INTEGRAL COMPONENTS; MODELING APPROACH; OPERATING CONDITION; SUPERVISORY CONTROL AND DATA ACQUISITION; SYSTEMATIC FRAMEWORK; TURBINE PERFORMANCE; WIND TURBINE PERFORMANCE ASSESSMENT; WORKING CONDITIONS;

CASCADES (FLUID MECHANICS); CONDITION MONITORING; FREQUENCY DOMAIN ANALYSIS; WIND POWER;

WIND TURBINES;

DATA SET; EMPIRICAL ANALYSIS; ENERGY RESOURCE; MONITORING SYSTEM; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; RELIABILITY ANALYSIS; RENEWABLE RESOURCE; VIBRATION; WIND POWER; WIND TURBINE;

EID: 84859582465     PISSN: 09601481     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.renene.2012.02.018     Document Type: Article

References (19)

1. Wind power today 2010 2010, NREL, United States Department of Energy (DOE). U.S.D.o.E. (DOE) (Ed.).
2. Part 1-technology. Wind energy - the facts 2009, EWEA, Earthscan.
3. Wiggelinkhuizen E., Verbruggen T., Braam H., Rademakers L., Xiang J., Watson S. Assessment of condition monitoring techniques for offshore wind farms. Journal of Solar Energy Engineering 2008, 130(3):0301004-1-0301004-9.
4. Amirat Y., Benbouzid M.E.H., Bensaker B., Wamkeue R. Condition monitoring and fault diagnosis in wind energy conversion systems: a review. IEEE international conference on electric machines & drives conference (IEMDC 2007) 2007, IEEE, Antalya, Turkey.
5. Hameed Z., Hong Y.S., Cho Y.M., Ahn S.H., Song C.K. Condition monitoring and fault detection of wind turbines and related algorithms: a review. Renewable and Sustainable Energy Reviews 2009, 13(1):1-39.
6. Hyers R.W., McGowan J.G., Sullivan K.L., Manwell J.F., Syrett B.C. Condition monitoring and prognosis of utility scale wind turbines. Energy Materials: Materials Science and Engineering for Energy Systems 2006, 1(3):187-203. (17).
7. Lu B., Li Y., Wu X., Yang Z. A review of recent advances in wind turbine condition monitoring and fault diagnosis. IEEE power electronics and machines in wind applications (PEWMA) 2009, IEEE, Lincoln, NE.
8. Wind turbines - part 12-1: power performance measurements of electricity producing wind turbines 2005, vol. 1. IEC, IEC 61400-12-1, International Electrotechnical Commission, IEC, Netherlands.
9. Yilmaz A.S., Ozer Z. Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks. Expert Systems with Applications 2009, 36(6):9767-9775.
10. McLaughlin D., Clive P., McKenzie J. Staying ahead of the wind power curve. Renewable Energy World 2010, Web.
11. Kusiak A., Zheng H., Song Z. Models for monitoring wind farm power. Renewable Energy 2009, 34(3):583-590.
12. Kohonen T. The self-organizing map. Proceedings of the IEEE 1990, 78(9):1464-1480.
13. Duda R.O., Hart P.E., Stork D.G. Pattern classification 2001, John Wiley & Sons, New York. 2nd ed.
14. Lemm J.C. Mixtures of Gaussian process priors. 9th international conference on artificial neural networks 1999, IEEE, Edinburgh, UK.
15. Schwarz G. Estimating the dimension of a model. The Annals of Statistics 1978, 6(2):461-464.
16. McLachlan G.J. Discriminant analysis and statistical pattern recognition 1992, John Wiley & Sons, New York.
17. Liao L. An adaptive modeling for robust prognostics on a reconfigurable platform 2010, in Department of Mechanical Engineering, University of Cincinnati, Cincinnati.
18. Rafiee J., Arvani F., Harifi A., Sadeghi M.H. Intelligent condition monitoring of a gerabox using artificial neural network. Mechanical Systems and Signal Processing 2007, 21(4):1746-1754.
19. Palade V., Bocaniala C.D. Computational intelligence in fault diagnosis 2006, 1st ed. Advanced Information and Knowledge Processing, Springer, p. 362.