[1]
Z. Daneshi-Far, G. A. Capolino, H. Henao, Review of failures and condition monitoring in wind turbine generators, 19th International Conference on Electrical Machines, September 6, (2010)
DOI: 10.1109/icelmach.2010.5608150
Google Scholar
[2]
Yassine Amirat, Vincent Choqueuse, Mohamed Benbouzid, Sylvie Turri, Hilbert transform-Based Bearing Failure Detection in DFIG-Based Wind Turbines, International Review of Electrical Engineering 6, 3 (2011) 1249-1256
DOI: 10.1109/icelmach.2010.5608066
Google Scholar
[3]
Hao Wangshen, Han Jiedong, Hao Xinmin, et al., Study on Development of Condition Monitoring and Fault Diagnosis System on MW-class Wind Turbines, Journal of Mechanical Transmission, 2011( 06):56-62
Google Scholar
[4]
Yanyong Li, A discussion on using Empirical Mode Decomposition for incipient fault , World Non-Grid-Connected Wind Power and Energy Conference (WNWEC), 5-7 Nov. 2010 : 1 - 5
DOI: 10.1109/wnwec.2010.5673197
Google Scholar
[5]
Tomasz Barszcz, Robert B. Randall. Application of spectral kurtosis for detection of a tooth c rack in the planetary gear of a wind turbine. Mechanical Systems and Signal Processing, 2009, 23: 1352-1365
DOI: 10.1016/j.ymssp.2008.07.019
Google Scholar
[6]
S. Sheng, Investigation of Oil Conditioning, Real -time Monitoring and Oil Sample Analysis for Wind Turbine Gearboxes, 2011, AWEA Project Performance and Reliability Workshop, January 12–13, 2011, San Diego, CA.
Google Scholar
[7]
Sheng, S. "Investigation of Various Condition Monitoring Techniques Based on a Damaged Wind Turbine Gearbox," 8th International Workshop on Structural Health Monitoring 2011 Proceedings, Stanford, CA, September 13-15, 2011.
Google Scholar
[8]
D. J. Lekou, F. Mouzakis, A. Anastasopoulos, et al., Emerging techniques for health monitoring of wind turbine gearboxes and bearings, in Proc. EWEC 2009, Scientific Track Operation and Maintenance, Marseille, France, March 16-19, 2009.
Google Scholar
[9]
C. Chen, C. Sun, Y. Zhang, et al., "Fault diagnosis for large-scale wind turbine rolling bearing using stress wave and wavelet analysis," in Proc. 8th Int. Conf. on Electrical Machines and Systems, vol. 3, 2005, pp.2239-2244.
DOI: 10.1109/icems.2005.202966
Google Scholar
[10]
Eric Y. Kim , Andy C. C. Tan , Bo-Suk Yang, et al., Experimental Study on Condition Monitoring of Low Speed Bearings : Time Domain Analysis, 5th Australasian Congress on Applied Mechanics, 10-12 December 2007, Brisbane, Australia
Google Scholar
[11]
Sako, Takashi; Yoshie, Osamu, Diagnostic method of low speed rolling element bearing using AE envelope waveform, IEEE Region 10 Annual International Conference, Proceedings/TENCON, pp.724-729, 2010, November 21- November 24.
DOI: 10.1109/tencon.2010.5686610
Google Scholar
[12]
Jiang, Haiyang; Chen, Peng, Analysis and sensitivity evaluation of AE signals and vibration signals for fault diagnosis of low-speed rotating machinery, Applied Mechanics and Materials, 2012, v 128-129, pp.79-84.
DOI: 10.4028/www.scientific.net/amm.128-129.79
Google Scholar
[13]
Yaguo Lei, Zhengjia He, Jing Lin etc, development of planetary gearbox fault diagnosis technology research, Journal of Mechanical Engineering, 2011, 47(19):59-67..
Google Scholar
[14]
Xuefeng Chen, Jimeng Li, Hang Cheng, et al., Research and application of condition monitoring and fault diagnosis technology in wind turbines, Journal of Mechanical Engineering, 2011, 47(9): 45-52
DOI: 10.3901/jme.2011.09.045
Google Scholar
[15]
Yaguo Lei, Lin Jing, Zhengjia He, Fault Diagnosis of Planetary Gearboxes Based on Multi- sensor Information Fusion, Journal of Vibration and Shock , 2010,29 (s):216-218
Google Scholar
[16]
Bin Lu, Yaoyu Li, Xin Wu and Zhongzhou Yang. A Review of Recent Advances in Wind Turbine Condition Monitoring and Fault Diagnosis[J] .Power Electronics and Machines in Wind Applications, 2009. PEMWA 2009. IEEE 24-26 June 2009.
DOI: 10.1109/pemwa.2009.5208325
Google Scholar
[17]
Kang, Haiying; Qi, Yanjie; Yan, Wen; Zheng, Haiqi, Application of nonlinearity fitting order analysis arithmetic in nonstationary signals analysis, Proceedings of 9th International Conference on Electronic Measurement and Instruments, pp.4890-4893, August 16, (2009)
DOI: 10.1109/icemi.2009.5274732
Google Scholar
[18]
Loutas T.H.; Roulias, D.; Pauly, E.; Kostopoulos,The combined use of vibration, acoustic emission and oil debris on-line monitoring towards a more effective condition monitoring of rotating machinery,Mechanical Systems and Signal Processing, v 25, n4, pp.1339-1352, May (2011)
DOI: 10.1016/j.ymssp.2010.11.007
Google Scholar