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[1] Herbert G M J, Iniyan S, Sreevalsan E, et al. A review of wind energy technologies[J]. Renewable and sustainable energy Reviews, 2007, 11(6): 1117-1145.
[2] Council G W E. Global wind statistics 2011[J]. Global Wind Report, 2011.
[3] Caithness Windfarm Information Forum. Summary of wind turbine accident data to 31 March 2019.
http://www.caithnesswindfarms.co.uk/AccidentStatistics.htm.
[4] Burton T, Sharpe D, Jenkins N, Bossanyi E. Wind energy handbook. New York:John Wiley & Sons; 2001
[5] Cross E J, Manson G, Worden K, et al. Features for damage detection with insensitivity to environmental and operational variations[J]. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2012, 468(2148): 4098-4122.
[6] Larsen F M. New lightning qualification test procedure for large wind turbine blades[C]//International Conference on Lightning and Static Electricity (ICLOSE), Blackpool, 2003. 2003.
[7] Hameed Z, Hong Y S, Cho Y M, et al. Condition monitoring and fault detection of wind turbines and related algorithms: A review[J]. Renewable and Sustainable energy reviews, 2009, 13(1): 1-39.
[8] Yang W , Lang Z , Tian S . Condition Monitoring and Damage Location of Wind Turbine Blades by Frequency Response Transmissibility Analysis[J]. IEEE Transactions on Industrial Electronics, 2015, 62(10):1-1.
[9] Kamath G M, Sundaram R, Gupta N, et al. Damage studies in composite structures for structural health monitoring using strain sensors[J]. Structural Health Monitoring, 2010, 9(6): 497-512.
[10] Lucklum F, Jakoby B. Novel magnetic–acoustic resonator sensors for remote liquid phase measurement and mass detection[J]. Sensors and Actuators A: Physical, 2008, 145: 44-51.
[11] Hanke R, Fuchs T, Uhlmann N. X-ray based methods for non-destructive testing and material characterization[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2008, 591(1): 14-18.
[12] Kopsaftopoulos F P, Fassois S D. Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods[J]. Mechanical Systems and Signal Processing, 2010, 24(7): 1977-1997.
[13] 张宇飞,王山山.基于频响函数虚部的梁结构损伤检测[J].振动与冲击,2018,37(02):38-42.
Damage detection for a beam based on imaginary part of its FRF [J].Journal of Vibration and Shock, 2018, 37(02): 38-42.
[14] Wang Y, Liang M, Xiang J. Damage detection method for wind turbine blades based on dynamics analysis and mode shape difference curvature information[J]. Mechanical Systems and Signal Processing, 2014, 48(1-2): 351-367.
[15] 高海洋,郭杏林,吴明勇.基于频响函数虚部的板结构损伤检测方法研究[J].振动与冲击,2012,31(12):86-91.
Gao Haiyang, Guo Xinglin, Wu Mingyong. Damage detection for a plate based on imaginary part of frequency response function[J].Journal of Vibration and Shock, 2012,31(12):86-91.
[16] Pandey A K, Biswas M, Samman M M. Damage detection from changes in curvature mode shapes[J]. Journal of sound and vibration, 1991, 145(2): 321-332.
[17] Zou Y, Tong L, Steven G P. Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures—a review[J]. Journal of Sound and vibration, 2000, 230(2): 357-378.
[18] Xie Jun, Han Dajian. An improved method for structure damage detection based on frequency measurement[J]. Engineering Mechanics, 2004. 21(1); 21–25.
[19] Bahlous S E O, Smaoui H, El-Borgi S. Experimental validation of an ambient vibration-based multiple damage identification method using statistical modal filtering[J]. Journal of sound and vibration, 2009, 325(1-2): 49-68.
[20] Cawley P, Adams R D. The location of defects in structures from measurements of natural frequencies[J]. The Journal of Strain Analysis for Engineering Design, 1979, 14(2): 49-57.
[21] 金虎,楼文娟.基于位置和程度指标的结构损伤识别研究[J].浙江大学学报(工学版),2006(08):1393-1398.
Jin Hu, Lou Wenjuan. Structural damage identification research based on location index and extent index [J].Journal of Zhejiang University(Engineering Science), 2006(08): 1393-1398.
[22] Zhang K, Yan X. Multi-cracks identification method for cantilever beam structure with variable cross-sections based on measured natural frequency changes[J]. Journal of Sound and Vibration, 2017, 387: 53-65.
[23] Yu M, Fu S, Gao Y, et al. Crack detection of fan blade based on natural frequencies[J]. International Journal of Rotating Machinery, 2018, 2018.
[24] Ercolani G D, Felix D H, Ortega N F. Crack detection in prestressed concrete structures by measuring their natural frequencies[J]. Journal of Civil Structural Health Monitoring, 2018, 8(4): 661-671.
[25] Hearn G, Testa R B. Modal analysis for damage detection in structures[J]. Journal of Structural Engineering , 1991, 117(10): 3042-3063.
Ciang C C, Lee J R, Bang H J. Structural health monitoring for a wind turbine system: a review of damage detection methods[J]. Measurement science and technology, 2008, 19(12): 12200
[1] Herbert G M J, Iniyan S, Sreevalsan E, et al. A review of wind energy technologies[J]. Renewable and sustainable energy Reviews, 2007, 11(6): 1117-1145.
[2] Council G W E. Global wind statistics 2011[J]. Global Wind Report, 2011.
[3] Caithness Windfarm Information Forum. Summary of wind turbine accident data to 31 March 2019.
http://www.caithnesswindfarms.co.uk/AccidentStatistics.htm.
[4] Burton T, Sharpe D, Jenkins N, Bossanyi E. Wind energy handbook. New York:John Wiley & Sons; 2001
[5] Cross E J, Manson G, Worden K, et al. Features for damage detection with insensitivity to environmental and operational variations[J]. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2012, 468(2148): 4098-4122.
[6] Larsen F M. New lightning qualification test procedure for large wind turbine blades[C]//International Conference on Lightning and Static Electricity (ICLOSE), Blackpool, 2003. 2003.
[7] Hameed Z, Hong Y S, Cho Y M, et al. Condition monitoring and fault detection of wind turbines and related algorithms: A review[J]. Renewable and Sustainable energy reviews, 2009, 13(1): 1-39.
[8] Yang W , Lang Z , Tian S . Condition Monitoring and Damage Location of Wind Turbine Blades by Frequency Response Transmissibility Analysis[J]. IEEE Transactions on Industrial Electronics, 2015, 62(10):1-1.
[9] Kamath G M, Sundaram R, Gupta N, et al. Damage studies in composite structures for structural health monitoring using strain sensors[J]. Structural Health Monitoring, 2010, 9(6): 497-512.
[10] Lucklum F, Jakoby B. Novel magnetic–acoustic resonator sensors for remote liquid phase measurement and mass detection[J]. Sensors and Actuators A: Physical, 2008, 145: 44-51.
[11] Hanke R, Fuchs T, Uhlmann N. X-ray based methods for non-destructive testing and material characterization[J]. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2008, 591(1): 14-18.
[12] Kopsaftopoulos F P, Fassois S D. Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods[J]. Mechanical Systems and Signal Processing, 2010, 24(7): 1977-1997.
[13] 张宇飞,王山山.基于频响函数虚部的梁结构损伤检测[J].振动与冲击,2018,37(02):38-42.
Damage detection for a beam based on imaginary part of its FRF [J].Journal of Vibration and Shock, 2018, 37(02): 38-42.
[14] Wang Y, Liang M, Xiang J. Damage detection method for wind turbine blades based on dynamics analysis and mode shape difference curvature information[J]. Mechanical Systems and Signal Processing, 2014, 48(1-2): 351-367.
[15] 高海洋,郭杏林,吴明勇.基于频响函数虚部的板结构损伤检测方法研究[J].振动与冲击,2012,31(12):86-91.
Gao Haiyang, Guo Xinglin, Wu Mingyong. Damage detection for a plate based on imaginary part of frequency response function[J].Journal of Vibration and Shock, 2012,31(12):86-91.
[16] Pandey A K, Biswas M, Samman M M. Damage detection from changes in curvature mode shapes[J]. Journal of sound and vibration, 1991, 145(2): 321-332.
[17] Zou Y, Tong L, Steven G P. Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures—a review[J]. Journal of Sound and vibration, 2000, 230(2): 357-378.
[18] Xie Jun, Han Dajian. An improved method for structure damage detection based on frequency measurement[J]. Engineering Mechanics, 2004. 21(1); 21–25.
[19] Bahlous S E O, Smaoui H, El-Borgi S. Experimental validation of an ambient vibration-based multiple damage identification method using statistical modal filtering[J]. Journal of sound and vibration, 2009, 325(1-2): 49-68.
[20] Cawley P, Adams R D. The location of defects in structures from measurements of natural frequencies[J]. The Journal of Strain Analysis for Engineering Design, 1979, 14(2): 49-57.
[21] 金虎,楼文娟.基于位置和程度指标的结构损伤识别研究[J].浙江大学学报(工学版),2006(08):1393-1398.
Jin Hu, Lou Wenjuan. Structural damage identification research based on location index and extent index [J].Journal of Zhejiang University(Engineering Science), 2006(08): 1393-1398.
[22] Zhang K, Yan X. Multi-cracks identification method for cantilever beam structure with variable cross-sections based on measured natural frequency changes[J]. Journal of Sound and Vibration, 2017, 387: 53-65.
[23] Yu M, Fu S, Gao Y, et al. Crack detection of fan blade based on natural frequencies[J]. International Journal of Rotating Machinery, 2018, 2018.
[24] Ercolani G D, Felix D H, Ortega N F. Crack detection in prestressed concrete structures by measuring their natural frequencies[J]. Journal of Civil Structural Health Monitoring, 2018, 8(4): 661-671.
[25] Hearn G, Testa R B. Modal analysis for damage detection in structures[J]. Journal of Structural Engineering , 1991, 117(10): 3042-3063.
[26] Ciang C C, Lee J R, Bang H J. Structural health monitoring for a wind turbine system: a review of damage detection methods[J]. Measurement science and technology, 2008, 19(12): 12200
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