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  • 1
    Walford CA. Wind Turbine Reliability: Understanding and Minimizing Wind Turbine Operation and Maintenance Costs. 2006. Sandia Report, SAND2006-1100.
  • 2
    Hahn B, Durstewitz M, Rohrig K. Reliability of Wind Turbines. Wind Energy, Springer Berlin Heidelberg: New York, 2007; 329332.
  • 3
    Ciang CC, Lee J-R, Bang H-J. Structural health monitoring for a wind turbine system: a review of damage detection methods. Measurement Science Technology 2008; 19: 120.
  • 4
    Adams DE. Health Monitoring of Structural Materials and Components. John Wiley & Sons: Chichester, U. K., 2007.
  • 5
    Boller C, Chang F-K, Fujino Y. (eds). Encyclopedia of Structural Health Monitoring. John Wiley & Sons: Chichester, U. K., 2009.
  • 6
    Byrne G, Dornfeld D, Inasaki I, Ketteler G, Konig W, Teti R. Tool condition monitoring (TCM)—the status of research and industrial application. CIRP Annals—Manufacturing Technology 1995; 44: 541567.
  • 7
    Tandon N, Choudhury A. A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings. Tribology International 1999; 32: 469480.
  • 8
    Singh GK, Al Kazzaz SAS. Induction machine drive condition monitoring and diagnostic research—a survey. Electric Power Systems Research 2003; 64: 145158.
  • 9
    White J, Adams D, Rumsey M, Zayas J. Measurement of Operational Loading and Deflection with a Smart Turbine Rotor Blade. Windpower: Chicago, IL, 2009.
  • 10
    Park G, Farrar C, Lanza di Scalea F, Coccia S. Performance assessment and validation of piezoelectric active-sensors in structural health monitoring. Smart Materials and Structures 2006; 15: 16731683.
  • 11
    White J, Adams D, Rumsey M, van Dam J, Hughs S. Impact loading and damage detection in a carbon composite TX-100 wind turbine rotor blade. Proceedings of the AIAA Aerospace Sciences Meeting and Exhibit, Denver, CO, 2008.
  • 12
    Lading L, McGugan M, Sendrup P, Rheinlander J, Rusborg J. Fundamentals for Remote Structural Health Monitoring of Wind Turbine Blades—a Preproject: Annex B—Sensors and Nondestructive Testing Methods for Damage Detection in Wind Turbine Blades. 2002. RisØ-R-1341 (EN).
  • 13
    Drewry MA, Georgiou GA. A review of NDT techniques for wind turbines. Insight 2007; 49: 137141.
  • 14
    Kusiak A, Zheng H, Song Z. Models for monitoring wind farm power. Renewable Energy 2009; 34: 583590.
  • 15
    Aykul H, Ediz IG, Akcakoca H, Erarslan K, Taksuk M, Dixon-Hardy DW. Statistical process control for coal fired power plant system. Journal of the Energy Institute 2010; 83: 4147.
  • 16
    Jones P, Sutherland H, Neal B. LIST/BMI Turbines Instrumentation and Infrastructure. 2001. Sandia Report, SAND2001-1642.
  • 17
    Sohn H, Farrar C, Hunter N, Worden K. Structural health monitoring using statistical pattern recognition techniques. Journal of Dynamic Systems, Measurement, and Control 2001; 123: 706711.
  • 18
    Worden K, Manson G. The application of machine learning to structural health monitoring. Philosophical Transactions of the Royal Society of London Series A 2007; 365: 515537.
  • 19
    Liu W, Tang B, Jiang Y. Status and problems of wind turbine structural health monitoring techniques in China. Renewable Energy 2009; 35: 14141418.
  • 20
    Ghoshal A, Sundaresan MJ, Schulz MJ, Pai FP. Structural health monitoring techniques for wind turbine blades. Journal of Wind Engineering and Industrial Aerodynamics 2000; 85: 309324.
  • 21
    Sundaresan MJ, Schulz MJ, Ghoshal A. Structural health monitoring static test of a wind turbine blade. 2002, NREL/SR-500-28719.
  • 22
    Krikera G, Shinde V, Schulz M, Sundaresan M, Hughes S, van Dam J, Nkrumah F, Grandhi G, Ghoshal A. Monitoring multi-site damage growth during quasi-static testing of a wind turbine blade using a structural neural system. Structural Health Monitoring 2008; 7: 157173.
  • 23
    Hyers RW, McGowan JG, Sullivan KL, Manwell JF, Syrett BC. Condition monitoring and prognosis of utility scale wind turbines. Energy Materials 2006; 1: 187203.
  • 24
    Corey P, Grisso B, Inman D. Impedance-based structural health monitoring of wind turbine blades. Proceedings of SPIE 2007; 6532: 65321I-165321I-11. Health Monitoring of Structural and Biological Systems.
  • 25
    Rumsey M, Paquette J. Structural Health Monitoring of Wind Turbine Blades. Proceedings of the SPIE 2008; 6933: 69330E-169330E-15. SPIE-2008-6933-14A.
  • 26
    Schroeder K, Ecke W, Apitz J, Lembke E, Lenschow G. A fibre Bragg grating sensor system monitors operational load in a wind turbine rotor blade. Measurement Science and Technology 2006; 17: 11671172.
  • 27
    Walford CA, Roberts D. Condition Monitoring of Wind Turbines: Technology Overview, Seeded-Fault Testing, and Cost-Benefit Analysis. EPRI: Palo Alto, CA, 2006; 1010419.
  • 28
    Hameed Z, Hong YS, Cho YM, Ahn SH, Song CK. Condition monitoring and fault detection of wind turbines and related algorithms: a review. Renewable and Sustainable Energy Reviews 2009; 13: 139.
  • 29
    White J, Adams D, Rumsey M. Modal Analysis of CX-100 Rotor Blade and Micon 65/13 Wind Turbine. Proceedings of the International Modal Analysis Conference, Jacksonville, FL, 2010.
  • 30
    Simmermacher T, Carne T. ‘Tower Modal Survey.’ Internal Memo, Albuquerque, New Mexico: Sandia National Laboratories, 1999.
  • 31
    Saranyasoontorn K, Manuel L, Veers PS.On Estimation of Coherence in Inflow Turbulence based on Field Measurements’, AIAA, 23rd ASME Wind Energy Symposium, Reno, Jan 2004.