[1]
Minxuan CUI. China's Energy Outlook [M]. Social Science Academic Press, (2007).
Google Scholar
[2]
Xinmei Li, Wenlei Sun. Analysis of Key Technologies of Wind Turbine Blades [J]. Machinery, 2009 47(533) 45-47.
Google Scholar
[3]
Meigui Ou, Yilong Liang, Qizhi Xiang. Assessment of Monitoring Method for Small Fatigue Cracks [J]. Guizhou Science, 2003 21(3) 14-18.
Google Scholar
[4]
Zhongkui Zhu, Zailiang Chen, Chuanyang Wang. Bearing Transient Feature Detection And Extraction Based On Reassigned Scalogram [J]. Journal of data acquisition and processing, 2005 20(3) 356-360.
Google Scholar
[5]
Chaoyang Xie. Research of AE Signal Processing Methods [J]. China science and technology information, 2009 (5) 131-132.
Google Scholar
[6]
Dahao Yue, Xiaoli Li, Haojun Zhang, Yeshu Li, etc. IR Thermography Inspection of Wind Turbine Blades [J]. Infrared Technology, 2011 33(10) 614-617.
Google Scholar
[7]
Y. J Rao. In-Fiber Brag Grating Sensors [J]. Measurement science and technology, 1997 8(4) 355-375.
Google Scholar
[8]
Ying Shi, Changzheng Chen. Study On A New Method For Condition Monitoring of The Large-Scale Wind Turbine Blades[C]. 12th National Conference Proceedings of Fault Diagnosis, (2010).
Google Scholar
[9]
Yuanying Mei, Yuxiu Xu, Zhiqing Wang. The online detection and fault diagnosis for wind turbine blades with length fractal dimension [J]. Compressor, Blower & Fan Technology, 2011 (3) 53-56.
Google Scholar
[10]
Takeda N, Okabe Y, Kuwahara J, et al. Development of smart composite structures with small-diameter fiber Bragg grating sensors for damage detection: Quantitative evaluation of delamination length in CFRP laminates using Lamb wave sensing [J]. Composites science and technology, 2005 65(15) 2575-2587.
DOI: 10.1016/j.compscitech.2005.07.014
Google Scholar
[11]
C C Ciang, J R Lee, H J Bang. Structural health monitoring for a wind turbine system: a review of damage detection methods [J]. Measurement Science and Technology, 2008 19(12) 1-20.
DOI: 10.1088/0957-0233/19/12/122001
Google Scholar
[12]
L Lading, McGugan M, Sendrup P, et al. Fundamentals for remote structural health monitoring of wind turbine blades–a preproject: Annex B–Sensors and Non-Destructive Testing Methods for Damage Detection in Wind Turbine Blades [J]. Risø National Laboratory, Roskilde, Denmark, (2002).
DOI: 10.3390/coatings10121223
Google Scholar
[13]
Wei Zhou, Hongbo Zhang, Lihui Ma, Wanling Zhang. Advances In Non-Destructive Testing of Structures Defects for Wind Turbine Blade Composite Material [J]. Plastic Science and Technology, 2010 (12) 84-86.
Google Scholar
[14]
Amirat Y, Benbouzid M E H, Al-Ahmar E, et al. A Brief Status on Condition Monitoring and Fault Diagnosis in Wind Energy Conversion Systems [J]. Renewable and Sustainable Energy Reviews, 2009 13(9) 2629-2636.
DOI: 10.1016/j.rser.2009.06.031
Google Scholar
[15]
Fausto Pedro García Márquez, Andrew Mark Tobias, Jesús María Pinar Pérez, etc. Condition Monitoring of Wind Turbines: Techniques and Methods, Renewable Energy, 2012 (46) 169-178.
DOI: 10.1016/j.renene.2012.03.003
Google Scholar