Inverse data transformation for change detection in wind turbine diagnostics

Canadian Conference on Electrical and Computer Engineering

Volumn , Issue , 2009, Pages 944-949

  Yan, Jun ^a   Osadciw, Lisa Ann ^a   Benson, Glen ^b   White, Eric ^b  

^a Syracuse University   (United States)

^b AWS Truewind LLC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ABNORMALITY DETECTION; APPLICATION EXAMPLES; CHANGE DETECTION; COMPLEX SYSTEMS; DATA TRANSFORMATION; DECISION BOUNDARY; DECISION REGIONS; DECISION THRESHOLD; DEGREES OF FREEDOM; FITTING ACCURACY; GAUSSIANS; HISTORICAL DATA; LEARNED PATTERNS; ONE-TO-ONE MAPPINGS; OPERATIONAL PERFORMANCE; PARAMETER VARIATION; POLYNOMIAL FUNCTIONS; POTENTIAL FAULTS; POWER CURVES; SIGMOID FUNCTION; SOFT FAILURE; WORKING STATE;

HOSE FITTINGS; PARTICLE SWARM OPTIMIZATION (PSO); SIGNAL DETECTION; WIND POWER; WIND TURBINES;

CURVE FITTING;

EID: 70350222063     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2009.5090267     Document Type: Conference Paper

References (12)

1. BLAABJERG F CHEN Z, "Wind energy-the worlds fastest growing energy source," IEEE Power Electron. Soc. Newsl., vol. 18, no. 3, pp. 1519, 2006.
2. H. R. DePold and F. D. Gass, "The application of expert systems and neural networks to gas turbine prognostics and diagnostics," Journal of Engineering for Gas Turbines and Power, vol. 121, no. 4, pp. 607-612, October 1999.
3. KARKI R and BILLINTON R, "Cost effective wind energy utilization for reliable power supply," IEEE Trans. Energy Convers., vol. 19, no. 2, pp. 435-440, 2004.
4. Johan Ribrant, Reliability performance and maintenance - a survey of failures in wind power systems, Ph.D. thesis, XR-EE-EEK, 09 2006.
5. J. Nilsson and L. Bertling, "Maintenance management of wind power systems using condition monitoring systemslife cycle cost analysis for two case studies," Energy Conversion, IEEE Transaction on, vol. 22, no. 1, pp. 223-229, March 2007.
6. Tony Burton, David Sharpe, Nick Jenkins, and Ervin Bossanyi, Wind Energy Handbook, Wiley, 2001.
7. Comparison of Methods for Power Curve Modelling, Chicago, Illinois, USA, 2004.
8. D Robb, "Gearbox design for wind turbines improving but still face challenges," Windstat Newsletter, vol. 18, no. 3, 20045.
9. James Kennedy and Russell Eberhart, "Particle swarm optimization," in Proc. IEEE Int'l. Conf. on Neural Networks (Perth, Australia), IEEE Service Center, Piscataway, NJ, 1995, vol. IV, pp. 1942-1948.
10. Ake Bjrck, Numerical Methods for Least Squares Problems, SIAM: Society for Industrial and Applied Mathematics, 1996.
11. T.Mitchell, Machine Learning, WCB/McGraw Hill, 1997.
12. Alan V. Oppenheim and Ronald W. Schafer, Discrete-Time Signal Processing, Prentice-Hall, 1989.