Application of hilbert-huang transform method on fault diagnosis for wind turbine rotor

Key Engineering Materials

Volumn 413-414, Issue , 2009, Pages 159-166

  Qian, Huang ^a   Dongxiang, Jiang ^a   Liangyou, Hong ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Fault diagnosis; HHT; Wind turbine rotor

Indexed keywords

AERODYNAMICS; FAILURE ANALYSIS; FAULT DETECTION; SIGNAL PROCESSING; SURFACE ROUGHNESS; WAVELET TRANSFORMS; WIND TURBINES;

EMPIRICAL MODE DECOMPOSITION; HILBERT HUANG TRANSFORMS; INTRINSIC MODE FUNCTIONS; PHYSICAL CHARACTERISTICS; TIME FREQUENCY CHARACTERISTICS; TIME-FREQUENCY ANALYSIS METHODS; WIND TURBINE ROTORS; WINDOWED FOURIER TRANSFORMS;

TURBINE COMPONENTS;

EID: 68149087555     PISSN: 10139826     EISSN: 16629795     Source Type: Book Series    
DOI: 10.4028/www.scientific.net/KEM.413-414.159     Document Type: Article

References (7)

1. National Wind Technology Center, Wind Program Multi-year Technical Plan, http://www.nrel.gov/wind-meetings/2003-timp-meeting/pdfs/mytp-nov-2003.pdf
2. Yu Ding, Eunshin Byon, Chiwoo Park: Dynamic Data-Driven Fault Diagnosis of Wind Turbine Systems. ICCS 2007, Part I, LNCS 4487, p. 1197, (2007).
3. Caselitz P, Giebhargt J, Kruger T, Mevenkamp M. Development of a fault detection system for wind energy converters. Proceedings of the EUWEC '96, Gotegorg; (1996). p.1004
4. W. Yang, P. J. Tavner: Journal of Sound and Vibration, Vol. 321(2009), p.1144 doi:10.1016/j.jsv.2008.10.012
5. N. E. Huang et al: Proceedings of the Royal Society of London Series A, Vol. 454 (1998), p. 903 doi:10.1098/rspa.1998.0193
6. G. Rilling, P. Flandrin, P. Goncalves: IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, NSIP-03, (2003), p. 1
7. Caselitz P, Giebhardt J: J Solar Energy Eng. Vol. 127 (2005), p. 253 doi:10.1115/1.1850485