Predicting the long term distribution of extreme loads from limited duration data: Comparing full integration and approximate methods

2002 ASME Wind Energy Symposium

Volumn , Issue , 2002, Pages 267-277

  Fitzwater, Leroy M ^a   Winterstein, Steven R ^a   Cornell, C Allin ^a  

^a Stanford University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

TURBULENCE; WIND POWER;

APPROXIMATE METHODS; GOVERNING EQUATIONS; LOAD DISTRIBUTIONS; LONG-TERM DISTRIBUTION; LOWER ORDER MODELS; QUALITATIVE ANALYSIS; SHORT TERM LOADS; TURBULENCE INTENSITY;

ELECTRIC POWER PLANT LOADS;

EID: 84894493255     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/wind2002-49     Document Type: Conference Paper

References (11)

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8. Rice, J. A., 1995. Mathematical Statistics and Data Analysis. Second edn. Duxbury Press, Belmont, California.
9. Veers, P. S. and Winterstein, S. R., 1997. Application of measured loads to wind turbine fatigue and reliability analysis. Proceedings ASME Wind Energy Symposium.
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11. Winterstein, S. R. and Engebretsen, K., 1998. Reliability-Based Prediction of Design Loads and Responses for Floating Ocean Structures. Proceedings, 17th International Offshore Mechanical Artie Engineering Symposium. ASME