메뉴 건너뛰기




Volumn 41, Issue , 2015, Pages 189-201

Load monitoring for active control of wind turbines

Author keywords

Active load control; Bragg grating; Fiber; Lidar; Load monitoring; MEMS; Rayleigh backscattering

Indexed keywords

FIBER BRAGG GRATINGS; FIBER OPTIC SENSORS; TURBOMACHINE BLADES; WIND TURBINE BLADES;

EID: 84907612374     PISSN: 13640321     EISSN: 18790690     Source Type: Journal    
DOI: 10.1016/j.rser.2014.08.029     Document Type: Review
Times cited : (48)

References (161)
  • 6
    • 84982318258 scopus 로고    scopus 로고
    • The complex terrain wind environment and its effects on the power output and loading of wind turbines
    • Reno, NV
    • Fragoulis A. The complex terrain wind environment and its effects on the power output and loading of wind turbines. In: AIAA aerospace sciences meeting. Reno, NV; 1997. doi:10.2514/6.1997-934.
    • (1997) AIAA Aerospace Sciences Meeting
    • Fragoulis, A.1
  • 7
    • 0345850317 scopus 로고    scopus 로고
    • Using wavelet analysis to assess turbulence/rotor interactions
    • N.D. Kelley, R.M. Osgood, J.T. Bialasiewicz, and A. Jakubowski Using wavelet analysis to assess turbulence/rotor interactions Wind Energy 3 2000 121 134 10.1002/we.33
    • (2000) Wind Energy , vol.3 , pp. 121-134
    • Kelley, N.D.1    Osgood, R.M.2    Bialasiewicz, J.T.3    Jakubowski, A.4
  • 9
    • 0346342967 scopus 로고    scopus 로고
    • Wind shear and turbulence effects on rotor fatigue and loads control
    • A.J. Eggers, R. Digumarthi, and K. Chaney Wind shear and turbulence effects on rotor fatigue and loads control J Sol Energy Eng 125 2003 402 409 10.1115/1.1629752
    • (2003) J Sol Energy Eng , vol.125 , pp. 402-409
    • Eggers, A.J.1    Digumarthi, R.2    Chaney, K.3
  • 11
    • 13244273564 scopus 로고    scopus 로고
    • Active load reduction using individual pitch, based on local blade flow measurements
    • T.J. Larsen, H.A. Madsen, and K. Thomsen Active load reduction using individual pitch, based on local blade flow measurements Wind Energy 8 2005 67 80 10.1002/we.141
    • (2005) Wind Energy , vol.8 , pp. 67-80
    • Larsen, T.J.1    Madsen, H.A.2    Thomsen, K.3
  • 12
    • 84870033115 scopus 로고    scopus 로고
    • Load reduction using pressure difference on airfoil for control of trailing edge flaps
    • Marseille, France
    • Gaunaa M, Andersen PB. Load reduction using pressure difference on airfoil for control of trailing edge flaps. In: Proceedings of the European wind energy conference. Marseille, France; 2009.
    • (2009) Proceedings of the European Wind Energy Conference
    • Gaunaa, M.1    Andersen, P.B.2
  • 15
    • 77950853117 scopus 로고    scopus 로고
    • Condition monitoring and prognosis of utility scale wind turbines
    • R.W. Hyers, J.G. McGowan, K.L. Sullivan, J.F. Manwell, and B.C. Syrett Condition monitoring and prognosis of utility scale wind turbines Energy Mater 1 2006 187 203 10.1179/174892406X163397
    • (2006) Energy Mater , vol.1 , pp. 187-203
    • Hyers, R.W.1    McGowan, J.G.2    Sullivan, K.L.3    Manwell, J.F.4    Syrett, B.C.5
  • 16
    • 53049083760 scopus 로고    scopus 로고
    • Condition monitoring and fault detection of wind turbines and related algorithms: A review
    • Z. Hameed, Y.S. Hong, Y.M. Cho, S.H. Ahn, and C.K. Song Condition monitoring and fault detection of wind turbines and related algorithms: a review Renew Sustain Energy Rev 13 2009 1 39 10.1016/j.rser.2007.05.008
    • (2009) Renew Sustain Energy Rev , vol.13 , pp. 1-39
    • Hameed, Z.1    Hong, Y.S.2    Cho, Y.M.3    Ahn, S.H.4    Song, C.K.5
  • 17
    • 84867429552 scopus 로고    scopus 로고
    • Review of structural health and cure monitoring techniques for large wind turbine blades
    • P.J. Schubel, R.J. Crossley, E.K.G. Boateng, and J.R. Hutchinson Review of structural health and cure monitoring techniques for large wind turbine blades Renew Energy 51 2013 113 123 10.1016/j.renene.2012.08.072
    • (2013) Renew Energy , vol.51 , pp. 113-123
    • Schubel, P.J.1    Crossley, R.J.2    Boateng, E.K.G.3    Hutchinson, J.R.4
  • 18
    • 63849321051 scopus 로고    scopus 로고
    • Structural health monitoring for a wind turbine system: A review of damage detection methods
    • C.C. Ciang, J.-R. Lee, and H.-J. Bang Structural health monitoring for a wind turbine system: a review of damage detection methods Meas Sci Technol 19 2008 1 20 10.1088/0957-0233/19/12/122001
    • (2008) Meas Sci Technol , vol.19 , pp. 1-20
    • Ciang, C.C.1    Lee, J.-R.2    Bang, H.-J.3
  • 19
    • 80051516017 scopus 로고    scopus 로고
    • An integrated SHM approach for offshore wind energy plants
    • Jacksonville, FL: Society for Experimental Mechanics
    • Fritzen C-P, Kraemer P, Klinkov M An integrated SHM approach for offshore wind energy plants. In: Proceedings of the IMAC-XXVIII. Jacksonville, FL: Society for Experimental Mechanics, vol. 3; 2010. p. 727-40. doi:10.1007/978-1-4419-9834-7-63.
    • (2010) Proceedings of the IMAC-XXVIII , vol.3 , pp. 727-740
    • Fritzen, C.-P.1    Kraemer, P.2    Klinkov, M.3
  • 20
    • 77953656957 scopus 로고    scopus 로고
    • Integrated monitoring of offshore wind turbines-requirements, concepts and experiences
    • R.G. Rohrmann, S. Thöns, and W. Rücker Integrated monitoring of offshore wind turbines-requirements, concepts and experiences Struct Infrastruct Eng 6 2010 575 591 10.1080/15732470903068706
    • (2010) Struct Infrastruct Eng , vol.6 , pp. 575-591
    • Rohrmann, R.G.1    Thöns, S.2    Rücker, W.3
  • 22
    • 79952916273 scopus 로고    scopus 로고
    • Control of wind turbines
    • L.Y. Pao, and K.E. Johnson Control of wind turbines IEEE Control Syst 31 2011 44 62 10.1109/MCS.2010.939962
    • (2011) IEEE Control Syst , vol.31 , pp. 44-62
    • Pao, L.Y.1    Johnson, K.E.2
  • 23
    • 14344265839 scopus 로고    scopus 로고
    • Wind turbine control for load reduction
    • E.A. Bossanyi Wind turbine control for load reduction Wind Energy 6 2003 229 244 10.1002/we.95
    • (2003) Wind Energy , vol.6 , pp. 229-244
    • Bossanyi, E.A.1
  • 24
    • 23944477083 scopus 로고    scopus 로고
    • Load alleviation on wind turbine blades using variable airfoil geometry
    • S. Basualdo Load alleviation on wind turbine blades using variable airfoil geometry Wind Energy 29 2005 169 182 10.1260/0309524054797122
    • (2005) Wind Energy , vol.29 , pp. 169-182
    • Basualdo, S.1
  • 31
    • 0036850488 scopus 로고    scopus 로고
    • Review of state of art of smart structures and integrated systems
    • I. Chopra Review of state of art of smart structures and integrated systems AIAA J 40 2002 2145 2187 10.2514/2.1561
    • (2002) AIAA J , vol.40 , pp. 2145-2187
    • Chopra, I.1
  • 32
    • 71149099310 scopus 로고    scopus 로고
    • Review of state of the art in smart rotor control research for wind turbines
    • T.K. Barlas, and G.A.M. van Kuik Review of state of the art in smart rotor control research for wind turbines Prog Aerosp Sci 46 2010 1 27 10.1016/j.paerosci.2009.08.002
    • (2010) Prog Aerosp Sci , vol.46 , pp. 1-27
    • Barlas, T.K.1    Van Kuik, G.A.M.2
  • 33
    • 34250894330 scopus 로고    scopus 로고
    • Sensor selection and state estimation for wind turbine controls
    • Reno, NV
    • Ehlers J, Diop A, Bindner H. Sensor selection and state estimation for wind turbine controls. In: 45th AIAA aerospace sciences meeting. Reno, NV; 2007. doi:10.2514/6.2007-1019.
    • (2007) 45th AIAA Aerospace Sciences Meeting
    • Ehlers, J.1    Diop, A.2    Bindner, H.3
  • 35
    • 77950610005 scopus 로고    scopus 로고
    • Deformable trailing edge flaps for modern megawatt wind turbine controllers using strain gauge sensors
    • P.B. Andersen, L. Henriksen, M. Gaunaa, C. Bak, and T. Buhl Deformable trailing edge flaps for modern megawatt wind turbine controllers using strain gauge sensors Wind Energy 13 2010 193 206 10.1002/we.371
    • (2010) Wind Energy , vol.13 , pp. 193-206
    • Andersen, P.B.1    Henriksen, L.2    Gaunaa, M.3    Bak, C.4    Buhl, T.5
  • 36
    • 78649862306 scopus 로고    scopus 로고
    • Estimation of wind turbine blade forces with a state-augmented kalman filter
    • Orlando, FL
    • Berg J, Miller K. Estimation of wind turbine blade forces with a state-augmented kalman filter. In: 48th AIAA aerospace sciences meeting. Orlando, FL; 2010. doi:10.2514/6.2010-1580.
    • (2010) 48th AIAA Aerospace Sciences Meeting
    • Berg, J.1    Miller, K.2
  • 37
    • 84907641433 scopus 로고    scopus 로고
    • Investigation of the maximum load alleviation potential using trailing edge flaps controlled by inflow data
    • Oldenburg, Germany
    • Fischer A, Madsen HA. Investigation of the maximum load alleviation potential using trailing edge flaps controlled by inflow data. The Science of Making Torque from Wind. Oldenburg, Germany; 2012.
    • (2012) The Science of Making Torque from Wind
    • Fischer, A.1    Madsen, H.A.2
  • 40
    • 34548186157 scopus 로고    scopus 로고
    • Aeroelastic instabilities of large offshore and onshore wind turbines
    • G Bir, and J. Jonkman Aeroelastic instabilities of large offshore and onshore wind turbines J Phys Conf Ser 75 2007 012069 10.1088/1742-6596/75/1/012069
    • (2007) J Phys Conf ser , vol.75 , pp. 012069
    • Bir, G.1    Jonkman, J.2
  • 43
    • 84878414789 scopus 로고    scopus 로고
    • Powering embedded electronics for wind turbine monitoring using multi-source energy harvesting techniques
    • S.R. Anton, S.G. Taylor, E.Y. Raby, and K.M. Farinholt Powering embedded electronics for wind turbine monitoring using multi-source energy harvesting techniques Proc SPIE 8690 2013 869007 869009 10.1117/12.2010637
    • (2013) Proc SPIE , vol.8690 , pp. 869007-869009
    • Anton, S.R.1    Taylor, S.G.2    Raby, E.Y.3    Farinholt, K.M.4
  • 44
    • 84894505506 scopus 로고    scopus 로고
    • Wireless structural health monitoring of wind turbine blades using an energy harvester as a sensor
    • MD: National Harbor
    • Lim D-W, Mantell SC, Seiler PJ. Wireless structural health monitoring of wind turbine blades using an energy harvester as a sensor. In: Proceedings of the 32nd ASME wind energy symposium. MD: National Harbor; 2014. doi:10.2514/6.2014-1395.
    • (2014) Proceedings of the 32nd ASME Wind Energy Symposium
    • Lim, D.-W.1    Mantell, S.C.2    Seiler, P.J.3
  • 45
    • 84878544622 scopus 로고    scopus 로고
    • Technological challenges of developing wireless health and usage monitoring systems
    • C.S. Ling, D. Hewitt, S.G. Burrow, L. Clare, Barton D.A.W., and D.M. Wells Technological challenges of developing wireless health and usage monitoring systems Proc SPIE 8695 2013 10.1117/12.2008757 (86950K-1-86950K-12)
    • (2013) Proc SPIE , vol.8695
    • Ling, C.S.1    Hewitt, D.2    Burrow, S.G.3
  • 46
    • 77249127957 scopus 로고    scopus 로고
    • Wind turbine extreme gust control
    • S. Kanev, and T. van Engelen Wind turbine extreme gust control Wind Energy 13 2010 18 35 10.1002/we.338
    • (2010) Wind Energy , vol.13 , pp. 18-35
    • Kanev, S.1    Van Engelen, T.2
  • 47
    • 84863722012 scopus 로고    scopus 로고
    • Balancing fatigue damage and turbine performance through innovative pitch control algorithm
    • S.J. Johnson, S. Larwood, G. McNerney, and C.P. van Dam Balancing fatigue damage and turbine performance through innovative pitch control algorithm Wind Energy 15 2012 665 677 10.1002/we.495
    • (2012) Wind Energy , vol.15 , pp. 665-677
    • Johnson, S.J.1    Larwood, S.2    McNerney, G.3    Van Dam, C.P.4
  • 48
    • 78149415751 scopus 로고    scopus 로고
    • Gust alleviation using rapidly deployed trailing-edge flaps
    • M. Frederick, E.C. Kerrigan, and J.M.R. Graham Gust alleviation using rapidly deployed trailing-edge flaps J Wind Eng Ind Aerodyn 98 2010 712 723 10.1016/j.jweia.2010.06.005
    • (2010) J Wind Eng Ind Aerodyn , vol.98 , pp. 712-723
    • Frederick, M.1    Kerrigan, E.C.2    Graham, J.M.R.3
  • 49
    • 77950616874 scopus 로고    scopus 로고
    • Robust and distributed control of a smart blade
    • J.K. Rice, and M. Verhaegen Robust and distributed control of a smart blade Wind Energy 13 2010 103 116 10.1002/we.362
    • (2010) Wind Energy , vol.13 , pp. 103-116
    • Rice, J.K.1    Verhaegen, M.2
  • 50
    • 84924571688 scopus 로고    scopus 로고
    • A smart rotor configuration with linear quadratic control of adaptive trailing edge flaps for active load alleviation
    • L. Bergami, and N.K. Poulsen A smart rotor configuration with linear quadratic control of adaptive trailing edge flaps for active load alleviation Wind Energy 2014 10.1002/we.1716
    • (2014) Wind Energy
    • Bergami, L.1    Poulsen, N.K.2
  • 51
    • 77950605812 scopus 로고    scopus 로고
    • A comparison of smart rotor control approaches using trailing edge flaps and individual pitch control
    • M.A. Lackner, and G. van Kuik A comparison of smart rotor control approaches using trailing edge flaps and individual pitch control Wind Energy 13 2010 117 134 10.1002/we.353
    • (2010) Wind Energy , vol.13 , pp. 117-134
    • Lackner, M.A.1    Van Kuik, G.2
  • 54
    • 85132118602 scopus 로고    scopus 로고
    • Assessment of the strain gauge technique for measurement of wind turbine blade loads
    • K. Papadopoulos, E. Morfiadakis, T.P. Philippidis, and D.J. Lekou Assessment of the strain gauge technique for measurement of wind turbine blade loads Wind Energy 3 2000 35 65 10.1002/1099-1824(200001/03)3:1<35::AID-WE30>3.0.CO;2-D
    • (2000) Wind Energy , vol.3 , pp. 35-65
    • Papadopoulos, K.1    Morfiadakis, E.2    Philippidis, T.P.3    Lekou, D.J.4
  • 55
    • 79956126666 scopus 로고    scopus 로고
    • An evaluation of sensing technologies in a wind turbine blade: Some issues, challenges and lessons learned
    • M.A. Rumsey An evaluation of sensing technologies in a wind turbine blade: some issues, challenges and lessons learned Proc SPIE 7979 2011 79790G-15 10.1117/12.882024
    • (2011) Proc SPIE , vol.7979 , pp. 79790G-15
    • Rumsey, M.A.1
  • 56
    • 84895930967 scopus 로고    scopus 로고
    • Full-scale test of trailing edge flaps on a Vestas V27 wind turbine: Active load reduction and system identification
    • D. Castaignet, T. Barlas, T. Buhl, N.K. Poulsen, J.J. Wedel-Heinen, and N.A. Olesen Full-scale test of trailing edge flaps on a Vestas V27 wind turbine: active load reduction and system identification Wind Energy 17 2014 549 564 10.1002/we.1589
    • (2014) Wind Energy , vol.17 , pp. 549-564
    • Castaignet, D.1    Barlas, T.2    Buhl, T.3    Poulsen, N.K.4    Wedel-Heinen, J.J.5    Olesen, N.A.6
  • 57
    • 84879941590 scopus 로고    scopus 로고
    • Validation of individual pitch control by field tests on two- and three-bladed wind turbines
    • E.A. Bossanyi, P.A. Fleming, and A.D. Wright Validation of individual pitch control by field tests on two- and three-bladed wind turbines IEEE Trans Control Syst Technol 21 2013 1067 1078 10.1109/TCST.2013.2258345
    • (2013) IEEE Trans Control Syst Technol , vol.21 , pp. 1067-1078
    • Bossanyi, E.A.1    Fleming, P.A.2    Wright, A.D.3
  • 58
    • 79958173323 scopus 로고    scopus 로고
    • Piezoelectricity principles and materials
    • Chichester, West Sussex, UK: John Wiley & Sons, Ltd.
    • V. Giurgiutiu Piezoelectricity principles and materials Encyclopedia of structural health monitoring 2009 Chichester, West Sussex, UK: John Wiley & Sons, Ltd.
    • (2009) Encyclopedia of Structural Health Monitoring
    • Giurgiutiu, V.1
  • 59
    • 0031268034 scopus 로고    scopus 로고
    • Piezoelectric fiber composites with interdigitated electrodes
    • A.A. Bent, and N.W. Hagood Piezoelectric fiber composites with interdigitated electrodes J Intell Mater Syst Struct 8 1997 903 919 10.1177/1045389×9700801101
    • (1997) J Intell Mater Syst Struct , vol.8 , pp. 903-919
    • Bent, A.A.1    Hagood, N.W.2
  • 61
    • 0033719345 scopus 로고    scopus 로고
    • Low-cost piezocomposite actuator for structural control applications
    • W.K. Wilkie, R.G. Bryant, J.W. High, R.L. Fox, R.F. Hellbaum, and A. Jalink Low-cost piezocomposite actuator for structural control applications Proc SPIE 3991 2000 323 334 10.1117/12.388175
    • (2000) Proc SPIE , vol.3991 , pp. 323-334
    • Wilkie, W.K.1    Bryant, R.G.2    High, J.W.3    Fox, R.L.4    Hellbaum, R.F.5    Jalink, A.6
  • 62
    • 82755171683 scopus 로고    scopus 로고
    • Design and verification of a smart wing for an extreme-agility micro-air-vehicle
    • V. Wickramasinghe, Y. Chen, M. Martinez, F. Wong, and R. Kernaghan Design and verification of a smart wing for an extreme-agility micro-air-vehicle Smart Mater Struct 20 2011 125007 10.1088/0964-1726/20/12/125007
    • (2011) Smart Mater Struct , vol.20 , pp. 125007
    • Wickramasinghe, V.1    Chen, Y.2    Martinez, M.3    Wong, F.4    Kernaghan, R.5
  • 66
    • 84888366328 scopus 로고    scopus 로고
    • Smart dynamic rotor control using active flaps on a small-scale wind turbine: Aeroelastic modeling and comparison with wind tunnel measurements
    • T.K. Barlas, W. van Wingerden, A.W. Hulskamp, G.A.M. van Kuik, and H.E.N. Bersee Smart dynamic rotor control using active flaps on a small-scale wind turbine: aeroelastic modeling and comparison with wind tunnel measurements Wind Energy 16 2013 1287 1301 10.1002/we.1560
    • (2013) Wind Energy , vol.16 , pp. 1287-1301
    • Barlas, T.K.1    Van Wingerden, W.2    Hulskamp, A.W.3    Van Kuik, G.A.M.4    Bersee, H.E.N.5
  • 67
    • 0030168860 scopus 로고    scopus 로고
    • Fiber optic smart structures
    • E. Udd Fiber optic smart structures Proc IEEE 84 1996 884 894 10.1109/5.503144
    • (1996) Proc IEEE , vol.84 , pp. 884-894
    • Udd, E.1
  • 69
    • 79951627824 scopus 로고    scopus 로고
    • Polymer optical fiber sensors - A review
    • K. Peters Polymer optical fiber sensors - a review Smart Mater Struct 20 2011 013002 10.1088/0964-1726/20/1/013002
    • (2011) Smart Mater Struct , vol.20 , pp. 013002
    • Peters, K.1
  • 70
    • 84863908383 scopus 로고    scopus 로고
    • Validation and qualification of surface-applied fibre optic strain sensors using application-independent optical techniques
    • V.G. Schukar, D. Kadoke, N. Kusche, S. Münzenberger, K.-P. Gründer, and WR. Habel Validation and qualification of surface-applied fibre optic strain sensors using application-independent optical techniques Meas Sci Technol 23 2012 085601 10.1088/0957-0233/23/8/085601
    • (2012) Meas Sci Technol , vol.23 , pp. 085601
    • Schukar, V.G.1    Kadoke, D.2    Kusche, N.3    Münzenberger, S.4    Gründer, K.-P.5    Habel, W.R.6
  • 71
    • 0000627454 scopus 로고
    • Smart composite structures with embedded sensors
    • R.M. Measures Smart composite structures with embedded sensors Compos Eng 2 1992 597 618 10.1016/0961-9526(92)90045-8
    • (1992) Compos Eng , vol.2 , pp. 597-618
    • Measures, R.M.1
  • 73
    • 84861111129 scopus 로고    scopus 로고
    • Structural health monitoring of wind turbine blade using fiber Bragg grating sensors and fiber optic rotary joint
    • Y. Chen, Y.Q. Ni, X.W. Ye, H.X. Yang, and S. Zhu Structural health monitoring of wind turbine blade using fiber Bragg grating sensors and fiber optic rotary joint Proc SPIE 8345 2012 834534 834536 10.1117/12.914961
    • (2012) Proc SPIE , vol.8345 , pp. 834534-834536
    • Chen, Y.1    Ni, Y.Q.2    Ye, X.W.3    Yang, H.X.4    Zhu, S.5
  • 74
    • 46749128596 scopus 로고    scopus 로고
    • A novel online rotor condition monitoring system using fiber Bragg grating (FBG) sensors and a rotary optical coupler
    • J.M. Lee, and Y. Hwang A novel online rotor condition monitoring system using fiber Bragg grating (FBG) sensors and a rotary optical coupler Meas Sci Technol 19 2008 065303 10.1088/0957-0233/19/6/065303
    • (2008) Meas Sci Technol , vol.19 , pp. 065303
    • Lee, J.M.1    Hwang, Y.2
  • 75
    • 84890887731 scopus 로고    scopus 로고
    • Intensity-, interferometric-, and scattering-based optical-fiber sensors
    • Chichester, West Sussex, UK: John Wiley & Sons, Ltd.
    • K. Peters Intensity-, interferometric-, and scattering-based optical-fiber sensors Encyclopedia of structural health monitoring 2009 Chichester, West Sussex, UK: John Wiley & Sons, Ltd.
    • (2009) Encyclopedia of Structural Health Monitoring
    • Peters, K.1
  • 76
    • 0013502611 scopus 로고    scopus 로고
    • The use of plastic optical fibre sensors for monitoring the dynamic response of fibre composite beams
    • K.S.C. Kuang, and W.J. Cantwell The use of plastic optical fibre sensors for monitoring the dynamic response of fibre composite beams Meas Sci Technol 14 2003 736 745 10.1088/0957-0233/14/6/305
    • (2003) Meas Sci Technol , vol.14 , pp. 736-745
    • Kuang, K.S.C.1    Cantwell, W.J.2
  • 78
    • 0030188195 scopus 로고    scopus 로고
    • A review of recent developments in fiber optic sensor technology
    • A.D. Kersey A review of recent developments in fiber optic sensor technology Opt Fiber Technol 2 1996 291 317 10.1006/ofte.1996.0036
    • (1996) Opt Fiber Technol , vol.2 , pp. 291-317
    • Kersey, A.D.1
  • 79
    • 0031212257 scopus 로고    scopus 로고
    • Fiber Bragg grating technology fundamentals and overview
    • K.O. Hill, and G. Meltz Fiber Bragg grating technology fundamentals and overview J Lightwave Technol 15 1997 1263 1276 10.1109/50.618320
    • (1997) J Lightwave Technol , vol.15 , pp. 1263-1276
    • Hill, K.O.1    Meltz, G.2
  • 80
    • 0037446673 scopus 로고    scopus 로고
    • Strain and temperature sensor using a combination of polymer and silica fibre Bragg gratings
    • H.B. Liu, H.Y. Liu, G.D. Peng, and P.L. Chu Strain and temperature sensor using a combination of polymer and silica fibre Bragg gratings Opt Commun 219 2003 139 142 10.1016/S0030-4018(03)01313-0
    • (2003) Opt Commun , vol.219 , pp. 139-142
    • Liu, H.B.1    Liu, H.Y.2    Peng, G.D.3    Chu, P.L.4
  • 82
    • 0036602169 scopus 로고    scopus 로고
    • Response of Bragg grating fiber-optic sensors when embedded in composite laminates
    • J.A. Guemes, and J.M. Menéndez Response of Bragg grating fiber-optic sensors when embedded in composite laminates Compos Sci Technol 62 2002 959 966 10.1016/S0266-3538(02)00010-6
    • (2002) Compos Sci Technol , vol.62 , pp. 959-966
    • Guemes, J.A.1    Menéndez, J.M.2
  • 85
    • 84876537181 scopus 로고    scopus 로고
    • Advanced wind turbine controls input based on real time loads measured with fibre optical sensors embedded in rotor blades
    • Athens, Greece
    • Kuhnt S, Wernicke J, Shadden J, Byars R. Advanced wind turbine controls input based on real time loads measured with fibre optical sensors embedded in rotor blades. In: Proceedings of the European wind energy conference. Athens, Greece; 2006.
    • (2006) Proceedings of the European Wind Energy Conference
    • Kuhnt, S.1    Wernicke, J.2    Shadden, J.3    Byars, R.4
  • 86
    • 33646194807 scopus 로고    scopus 로고
    • A fibre Bragg grating sensor system monitors operational load in a wind turbine rotor blade
    • K. Schroeder, W. Ecke, J. Apitz, E. Lembke, and G. Lenschow A fibre Bragg grating sensor system monitors operational load in a wind turbine rotor blade Meas Sci Technol 17 2006 1167 1172 10.1088/0957-0233/17/5/S39
    • (2006) Meas Sci Technol , vol.17 , pp. 1167-1172
    • Schroeder, K.1    Ecke, W.2    Apitz, J.3    Lembke, E.4    Lenschow, G.5
  • 87
    • 79956305019 scopus 로고    scopus 로고
    • Structural health monitoring of wind turbines using fiber Bragg grating based sensing system
    • H. Bang, M. Jang, and H. Shin Structural health monitoring of wind turbines using fiber Bragg grating based sensing system Proc SPIE 7981 2011 79812H 79818H 10.1117/12.880654
    • (2011) Proc SPIE , vol.7981 , pp. 79812H-79818H
    • Bang, H.1    Jang, M.2    Shin, H.3
  • 88
    • 78649261820 scopus 로고    scopus 로고
    • Real-time monitoring of composite wind turbine blades using fiber Bragg grating sensors
    • S. Park, T. Park, and K. Han Real-time monitoring of composite wind turbine blades using fiber Bragg grating sensors Adv Compos Mater 20 2011 39 51 10.1163/092430410X504198
    • (2011) Adv Compos Mater , vol.20 , pp. 39-51
    • Park, S.1    Park, T.2    Han, K.3
  • 89
    • 84860726705 scopus 로고    scopus 로고
    • Computational studies of a strain-based deformation shape prediction algorithm for control and monitoring applications
    • A. Derkevorkian, J. Alvarenga, S.F. Masri, H. Boussalis, and W.L. Richards Computational studies of a strain-based deformation shape prediction algorithm for control and monitoring applications Proc SPIE 8343 2012 83430F-10 10.1117/12.914579
    • (2012) Proc SPIE , vol.8343 , pp. 83430F-10
    • Derkevorkian, A.1    Alvarenga, J.2    Masri, S.F.3    Boussalis, H.4    Richards, W.L.5
  • 90
    • 84905823688 scopus 로고    scopus 로고
    • Real-time deformed shape estimation of a wind turbine blade using distributed fiber Bragg grating sensors: Strain-based shape estimation
    • H.-I. Kim, J.-H. Han, and H.-J. Bang Real-time deformed shape estimation of a wind turbine blade using distributed fiber Bragg grating sensors: strain-based shape estimation Wind Energy 2013 10.1002/we.1644
    • (2013) Wind Energy
    • Kim, H.-I.1    Han, J.-H.2    Bang, H.-J.3
  • 91
    • 84879898357 scopus 로고    scopus 로고
    • Development of a FBG based distributed strain sensor system for wind turbine structural health monitoring
    • T.J. Arsenault, A. Achuthan, P. Marzocca, C. Grappasonni, and G. Coppotelli Development of a FBG based distributed strain sensor system for wind turbine structural health monitoring Smart Mater Struct 22 2013 075027 10.1088/0964-1726/22/7/075027
    • (2013) Smart Mater Struct , vol.22 , pp. 075027
    • Arsenault, T.J.1    Achuthan, A.2    Marzocca, P.3    Grappasonni, C.4    Coppotelli, G.5
  • 92
    • 77951536187 scopus 로고    scopus 로고
    • Optical fiber distributed sensing - Physical principles and applications
    • A. Güemes, A. Fernández-López, and B. Soller Optical fiber distributed sensing - physical principles and applications Struct Health Monit 9 2010 233 245 10.1177/1475921710365263
    • (2010) Struct Health Monit , vol.9 , pp. 233-245
    • Güemes, A.1    Fernández-López, A.2    Soller, B.3
  • 93
    • 85086617695 scopus 로고    scopus 로고
    • High resolution distributed strain or temperature measurements in single- and multi-mode fiber using swept-wavelength interferometry
    • S.T. Kreger, D.K. Gifford, M.E. Froggatt, B.J. Soller, and M.S. Wolfe High resolution distributed strain or temperature measurements in single- and multi-mode fiber using swept-wavelength interferometry Opt Fiber Sens, Cancun, Mexico 2006 10.1364/OFS.2006.ThE42
    • (2006) Opt Fiber Sens, Cancun, Mexico
    • Kreger, S.T.1    Gifford, D.K.2    Froggatt, M.E.3    Soller, B.J.4    Wolfe, M.S.5
  • 94
    • 69749095215 scopus 로고    scopus 로고
    • Distributed strain and temperature sensing in plastic optical fiber using Rayleigh scatter
    • S.T. Kreger, A.K. Sang, D.K. Gifford, and M.E. Froggatt Distributed strain and temperature sensing in plastic optical fiber using Rayleigh scatter Proc SPIE 7316 2009 73160A 73168A 10.1117/12.821353
    • (2009) Proc SPIE , vol.7316 , pp. 73160A-73168A
    • Kreger, S.T.1    Sang, A.K.2    Gifford, D.K.3    Froggatt, M.E.4
  • 96
    • 84861159411 scopus 로고    scopus 로고
    • Fiber optic shape sensing for monitoring of flexible structures
    • E.M. Lally, M. Reaves, E. Horrell, S. Klute, and M.E. Froggatt Fiber optic shape sensing for monitoring of flexible structures Proc SPIE 8345 2012 83452Y 83459Y 10.1117/12.917490
    • (2012) Proc SPIE , vol.8345 , pp. 83452Y-83459Y
    • Lally, E.M.1    Reaves, M.2    Horrell, E.3    Klute, S.4    Froggatt, M.E.5
  • 97
    • 78549258145 scopus 로고    scopus 로고
    • Estimation of wind turbine blade operational loading and deflection with inertial measurements
    • Orlando, FL
    • White JR, Adams DE, Rumsey MA, Paquette J. Estimation of wind turbine blade operational loading and deflection with inertial measurements. In: 47th AIAA aerospace sciences meeting. Orlando, FL; 2009. doi:10.2514/6.2009-1407.
    • (2009) 47th AIAA Aerospace Sciences Meeting
    • White, J.R.1    Adams, D.E.2    Rumsey, M.A.3    Paquette, J.4
  • 98
    • 80051479223 scopus 로고    scopus 로고
    • Modal analysis of CX-100 rotor blade and Micon 65/13 wind turbine
    • Jacksonville, FL: Springer
    • White JR, Adams DE, Rumsey MA. Modal analysis of CX-100 rotor blade and Micon 65/13 wind turbine. In: Proceedings of the IMAC-XXVIII, vol. 1, Jacksonville, FL: Springer; 2010. p. 15-27. doi:10.1007/978-1-4419-9716-6-2.
    • (2010) Proceedings of the IMAC-XXVIII , vol.1 , pp. 15-27
    • White, J.R.1    Adams, D.E.2    Rumsey, M.A.3
  • 101
    • 84921875008 scopus 로고    scopus 로고
    • Wind turbine rotor imbalance detection using nacelle and blade measurements
    • J. Kusnick, D.E. Adams, and D.T. Griffith Wind turbine rotor imbalance detection using nacelle and blade measurements Wind Energy 2014 10.1002/we.1696
    • (2014) Wind Energy
    • Kusnick, J.1    Adams, D.E.2    Griffith, D.T.3
  • 102
    • 0037345714 scopus 로고    scopus 로고
    • Optimal sensor placement for modal parameter identification using signal subspace correlation techniques
    • A.-P. Cherng Optimal sensor placement for modal parameter identification using signal subspace correlation techniques Mech Syst Signal Process 17 2003 361 378 10.1006/mssp.2001.1400
    • (2003) Mech Syst Signal Process , vol.17 , pp. 361-378
    • Cherng, A.-P.1
  • 104
    • 84907641423 scopus 로고    scopus 로고
    • Miniaturized sensors employing micro- and nanotechnologies
    • Chichester, West Sussex, UK: John Wiley & Sons, Ltd.
    • K.J. Loh, and J.P. Lynch Miniaturized sensors employing micro- and nanotechnologies Encyclopedia of structural health monitoring 2009 Chichester, West Sussex, UK: John Wiley & Sons, Ltd.
    • (2009) Encyclopedia of Structural Health Monitoring
    • Loh, K.J.1    Lynch, J.P.2
  • 105
    • 84868033731 scopus 로고    scopus 로고
    • Load monitoring of aerospace structures utilizing micro-electro-mechanical systems for static and quasi-static loading conditions
    • M. Martinez, B. Rocha, M. Li, G. Shi, A. Beltempo, and R. Rutledge Load monitoring of aerospace structures utilizing micro-electro-mechanical systems for static and quasi-static loading conditions Smart Mater Struct 21 2012 115001 10.1088/0964-1726/21/11/115001
    • (2012) Smart Mater Struct , vol.21 , pp. 115001
    • Martinez, M.1    Rocha, B.2    Li, M.3    Shi, G.4    Beltempo, A.5    Rutledge, R.6
  • 106
    • 84983103431 scopus 로고    scopus 로고
    • Correcting inflow measurements from HAWTs using a lifting-surface code
    • Reno, NV
    • Whale J, Fisichella C, Selig M. Correcting inflow measurements from HAWTs using a lifting-surface code. In: 37th aerospace sciences meeting. Reno, NV; 1999. doi:10.2514/6.1999-40.
    • (1999) 37th Aerospace Sciences Meeting
    • Whale, J.1    Fisichella, C.2    Selig, M.3
  • 108
    • 84873829966 scopus 로고    scopus 로고
    • Individual pitch control based on local and upstream inflow measurements
    • Nashville, TN
    • Kragh K, Hansen M. Individual pitch control based on local and upstream inflow measurements. In: 50th AIAA aerospace sciences meeting. Nashville, TN; 2012. doi:10.2514/6.2012-1021.
    • (2012) 50th AIAA Aerospace Sciences Meeting
    • Kragh, K.1    Hansen, M.2
  • 109
    • 84939469267 scopus 로고    scopus 로고
    • Sensor comparison study for load alleviating wind turbine pitch control
    • K.A. Kragh, M.H. Hansen, and L.C. Henriksen Sensor comparison study for load alleviating wind turbine pitch control Wind Energy 2013 10.1002/we.1675
    • (2013) Wind Energy
    • Kragh, K.A.1    Hansen, M.H.2    Henriksen, L.C.3
  • 110
    • 84863721684 scopus 로고    scopus 로고
    • Model predictive control for wind turbines with distributed active flaps: Incorporating inflow signals and actuator constraints
    • T.K. Barlas, G.J. van der Veen, and G.A.M. van Kuik Model predictive control for wind turbines with distributed active flaps: incorporating inflow signals and actuator constraints Wind Energy 15 2012 757 771 10.1002/we.503
    • (2012) Wind Energy , vol.15 , pp. 757-771
    • Barlas, T.K.1    Van Der Veen, G.J.2    Van Kuik, G.A.M.3
  • 111
    • 77950622290 scopus 로고    scopus 로고
    • Stability investigation of an airfoil section with active flap control
    • L. Bergami, and M. Gaunaa Stability investigation of an airfoil section with active flap control Wind Energy 13 2010 151 166 10.1002/we.354
    • (2010) Wind Energy , vol.13 , pp. 151-166
    • Bergami, L.1    Gaunaa, M.2
  • 112
    • 79955068032 scopus 로고    scopus 로고
    • Investigation of the load reduction potential of two trailing edge flap controls using CFD
    • J. Heinz, N.N. Sørensen, and F. Zahle Investigation of the load reduction potential of two trailing edge flap controls using CFD Wind Energy 14 2011 449 462 10.1002/we.435
    • (2011) Wind Energy , vol.14 , pp. 449-462
    • Heinz, J.1    Sørensen, N.N.2    Zahle, F.3
  • 117
    • 84907641419 scopus 로고    scopus 로고
    • Closed loop control of a flap exposed to harmonic aerodynamic actuation. The science of making torque from wind
    • in press
    • Velte CM, Mikkelsen RF, Sørensen JN, Kaloyanov T, Gaunaa M. Closed loop control of a flap exposed to harmonic aerodynamic actuation. The science of making torque from wind. Journal of Physics, in press.
    • Journal of Physics
    • Velte, C.M.1    Mikkelsen, R.F.2    Sørensen, J.N.3    Kaloyanov, T.4    Gaunaa, M.5
  • 118
  • 121
    • 82555183744 scopus 로고    scopus 로고
    • Adding feedforward blade pitch control for load mitigation in wind turbines: Non-causal series expansion, preview control, and optimized FIR filter methods
    • Orlando, FL
    • Dunne F, Pao L, Wright A, Jonkman B, Kelley N, Simley E. Adding feedforward blade pitch control for load mitigation in wind turbines: non-causal series expansion, preview control, and optimized FIR filter methods. In: 49th AIAA aerospace sciences meeting. Orlando, FL; 2011.
    • (2011) 49th AIAA Aerospace Sciences Meeting
    • Dunne, F.1    Pao, L.2    Wright, A.3    Jonkman, B.4    Kelley, N.5    Simley, E.6
  • 122
    • 79957478876 scopus 로고    scopus 로고
    • The use of preview wind measurements for blade pitch control
    • J. Laks, L. Pao, A. Wright, N. Kelley, and B. Jonkman The use of preview wind measurements for blade pitch control Mechatronics 21 2011 668 681 10.1016/j.mechatronics.2011.02.003
    • (2011) Mechatronics , vol.21 , pp. 668-681
    • Laks, J.1    Pao, L.2    Wright, A.3    Kelley, N.4    Jonkman, B.5
  • 124
    • 84907641417 scopus 로고    scopus 로고
    • Field testing of feedforward collective pitch control on the CART2 using a nacelle-based lidar scanner. The science of making torque from wind
    • in press
    • Schlipf D, Fleming P, Haizmann F, Scholbrock A, Hofsäß M, Wright A, et al. Field testing of feedforward collective pitch control on the CART2 using a nacelle-based lidar scanner. The science of making torque from wind. Journal of Physics, in press.
    • Journal of Physics
    • Schlipf, D.F.1
  • 125
    • 84883537622 scopus 로고    scopus 로고
    • On the feasibility and limits of extreme load reduction for wind turbines via advanced sensing: A LIDAR case study
    • Washington, DC
    • Elorza I, Iribas M, Miranda E. On the feasibility and limits of extreme load reduction for wind turbines via advanced sensing: a LIDAR case study. In: Proceedings of the American Control Conference. Washington, DC; 2013.
    • (2013) Proceedings of the American Control Conference
    • Elorza, I.1    Iribas, M.2    Miranda, E.3
  • 126
    • 84886096334 scopus 로고    scopus 로고
    • Nonlinear model predictive control of wind turbines using LIDAR
    • D. Schlipf, D.J. Schlipf, and M. Kühn Nonlinear model predictive control of wind turbines using LIDAR Wind Energy 16 2013 1107 1129 10.1002/we.1533
    • (2013) Wind Energy , vol.16 , pp. 1107-1129
    • Schlipf, D.1    Schlipf, D.J.2    Kühn, M.3
  • 127
    • 84879986227 scopus 로고    scopus 로고
    • Comparison of strategies for enhancing energy capture and reducing loads using LIDAR and feedforward control
    • N. Wang, K.E. Johnson, and A.D. Wright Comparison of strategies for enhancing energy capture and reducing loads using LIDAR and feedforward control IEEE Trans Control Syst Technol 21 2013 1129 1142 10.1109/TCST.2013.2258670
    • (2013) IEEE Trans Control Syst Technol , vol.21 , pp. 1129-1142
    • Wang, N.1    Johnson, K.E.2    Wright, A.D.3
  • 128
    • 84921851556 scopus 로고    scopus 로고
    • Preventing wind turbine overspeed in highly turbulent wind events using disturbance accommodating control and light detection and ranging
    • A. Pace, K. Johnson, and A. Wright Preventing wind turbine overspeed in highly turbulent wind events using disturbance accommodating control and light detection and ranging Wind Energy 2014 10.1002/we.1705
    • (2014) Wind Energy
    • Pace, A.1    Johnson, K.2    Wright, A.3
  • 129
    • 84921858780 scopus 로고    scopus 로고
    • Predictive control of an experimental wind turbine using preview wind speed measurements
    • N.W. Verwaal, G.J. van der Veen, and J.W. van Wingerden Predictive control of an experimental wind turbine using preview wind speed measurements Wind Energy 2014 10.1002/we.1702
    • (2014) Wind Energy
    • Verwaal, N.W.1    Van Der Veen, G.J.2    Van Wingerden, J.W.3
  • 130
    • 84894107574 scopus 로고    scopus 로고
    • Analysis of light detection and ranging wind speed measurements for wind turbine control
    • E. Simley, L.Y. Pao, R. Frehlich, B. Jonkman, and N. Kelley Analysis of light detection and ranging wind speed measurements for wind turbine control Wind Energy 17 2014 413 433 10.1002/we.1584
    • (2014) Wind Energy , vol.17 , pp. 413-433
    • Simley, E.1    Pao, L.Y.2    Frehlich, R.3    Jonkman, B.4    Kelley, N.5
  • 132
    • 84879680353 scopus 로고    scopus 로고
    • Un-freezing the turbulence: Application to LiDAR-assisted wind turbine control
    • E. Bossanyi Un-freezing the turbulence: application to LiDAR-assisted wind turbine control IET Renew Power Gener 7 2013 321 329 10.1049/iet-rpg.2012.0260
    • (2013) IET Renew Power Gener , vol.7 , pp. 321-329
    • Bossanyi, E.1
  • 133
    • 79952910708 scopus 로고    scopus 로고
    • Testing of frozen turbulence hypothesis for wind turbine applications with a scanning LIDAR system
    • Paris, France
    • Schlipf D, Trabucchi D, Bischoff O, Hofsäß M, Mann J, Mikkelsen T, et al. Testing of frozen turbulence hypothesis for wind turbine applications with a scanning LIDAR system. In: Proceedings of the international symposium on advancement of boundary layer remote sensing. Paris, France; 2010.
    • (2010) Proceedings of the International Symposium on Advancement of Boundary Layer Remote Sensing
    • Schlipf, D.T.1
  • 135
  • 137
    • 0038372367 scopus 로고    scopus 로고
    • Review of the present status of optical fiber sensors
    • B. Lee Review of the present status of optical fiber sensors Opt Fiber Technol 9 2003 57 79 10.1016/S1068-5200(02)00527-8
    • (2003) Opt Fiber Technol , vol.9 , pp. 57-79
    • Lee, B.1
  • 140
    • 84907641415 scopus 로고    scopus 로고
    • Validation of a structural health and loads monitoring platform using digital image correlation
    • Jerusalem
    • Backman D, Martinez M. Validation of a structural health and loads monitoring platform using digital image correlation. In: Proceedings of the 27th ICAF symposium. Jerusalem; 2013.
    • (2013) Proceedings of the 27th ICAF Symposium
    • Backman, D.1    Martinez, M.2
  • 141
    • 78649888702 scopus 로고    scopus 로고
    • Feasibility of monitoring large wind turbines using photogrammetry
    • M. Ozbek, D.J. Rixen, O. Erne, and G. Sanow Feasibility of monitoring large wind turbines using photogrammetry Energy 35 2010 4802 4811 10.1016/j.energy.2010.09.008
    • (2010) Energy , vol.35 , pp. 4802-4811
    • Ozbek, M.1    Rixen, D.J.2    Erne, O.3    Sanow, G.4
  • 142
    • 73449128012 scopus 로고    scopus 로고
    • Wind turbine operational and emergency stop measurements using point tracking videogrammetry
    • Albuquerque, NM
    • Paulsen US, Erne O, Schmidt T. Wind Turbine Operational and Emergency Stop Measurements Using Point Tracking Videogrammetry. In: Proceedings of the SEM annual conference. Albuquerque, NM; 2009.
    • (2009) Proceedings of the SEM Annual Conference
    • Paulsen, U.S.1    Erne, O.2    Schmidt, T.3
  • 143
    • 85086489327 scopus 로고    scopus 로고
    • Wind turbine rotor blade monitoring using digital image correlation: Assessment on a scaled model
    • MD: National Harbor
    • Winstroth J, Seume J. Wind turbine rotor blade monitoring using digital image correlation: assessment on a scaled model. In: Proceedings of the 32nd ASME wind energy symposium. MD: National Harbor; 2014. doi:10.2514/6.2014-1396.
    • (2014) Proceedings of the 32nd ASME Wind Energy Symposium
    • Winstroth, J.1    Seume, J.2
  • 149
    • 84861857056 scopus 로고    scopus 로고
    • Lidar wind speed measurements from a rotating spinner
    • Warsaw, Poland
    • Mikkelsen T, Hansen KH, Angelou N, Sjöholm M, Harris M, Hadley P, et al. Lidar wind speed measurements from a rotating spinner. In: Proceedings of the European wind energy conference. Warsaw, Poland; 2010.
    • (2010) Proceedings of the European Wind Energy Conference
    • Mikkelsen, T.H.1
  • 152
    • 34250826457 scopus 로고    scopus 로고
    • Designing and testing controls to mitigate tower dynamic loads in the controls advanced research turbine
    • Reno, NV
    • Wright AD, Fingersh LJ, Stol KA. Designing and testing controls to mitigate tower dynamic loads in the controls advanced research turbine. In: Proceedings of the 45th AIAA aerospace sciences meeting. Reno, NV; 2007. doi:10.2514/6.2007-1021.
    • (2007) Proceedings of the 45th AIAA Aerospace Sciences Meeting
    • Wright, A.D.1    Fingersh, L.J.2    Stol, K.A.3
  • 153
    • 85116520450 scopus 로고    scopus 로고
    • Advanced controller research for multi-MW wind turbines in the UPWIND project
    • E. Bossanyi, B. Savini, M. Iribas, M. Hau, B. Fischer, and D. Schlipf Advanced controller research for multi-MW wind turbines in the UPWIND project Wind Energy 15 2012 119 145 10.1002/we.523
    • (2012) Wind Energy , vol.15 , pp. 119-145
    • Bossanyi, E.1    Savini, B.2    Iribas, M.3    Hau, M.4    Fischer, B.5    Schlipf, D.6
  • 155
    • 79957511274 scopus 로고    scopus 로고
    • Development, implementation, and testing of fault detection strategies on the National Wind Technology Centers controls advanced research turbines
    • K.E. Johnson, and P.A. Fleming Development, implementation, and testing of fault detection strategies on the National Wind Technology Centers controls advanced research turbines Mechatronics 21 2011 728 736 10.1016/j.mechatronics.2010.11.010
    • (2011) Mechatronics , vol.21 , pp. 728-736
    • Johnson, K.E.1    Fleming, P.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.