Advanced Tools for Damage Detection in Wind Turbines
暂无分享,去创建一个
[1] S. Qian,et al. Joint time-frequency analysis : methods and applications , 1996 .
[2] E. Lund,et al. Structural collapse of a wind turbine blade. Part B: Progressive interlaminar failure models , 2010 .
[3] Anand Parey,et al. Dynamic modelling of spur gear pair and application of empirical mode decomposition-based statistical analysis for early detection of localized tooth defect , 2006 .
[4] Gabriel Rilling,et al. Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.
[5] J. Koenderink. Q… , 2014, Les noms officiels des communes de Wallonie, de Bruxelles-Capitale et de la communaute germanophone.
[6] Keith Worden,et al. TIME–FREQUENCY ANALYSIS IN GEARBOX FAULT DETECTION USING THE WIGNER–VILLE DISTRIBUTION AND PATTERN RECOGNITION , 1997 .
[7] Norden E. Huang,et al. Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..
[8] Charles R. Farrar,et al. Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review , 1996 .
[9] J. Antoni. The spectral kurtosis: a useful tool for characterising non-stationary signals , 2006 .
[10] W. J. Staszewski,et al. Application of the Wavelet Transform to Fault Detection in a Spur Gear , 1994 .
[11] H. M. Teager,et al. Evidence for Nonlinear Sound Production Mechanisms in the Vocal Tract , 1990 .
[12] Radford M. Neal. Pattern Recognition and Machine Learning , 2007, Technometrics.
[13] Simon Braun,et al. Hilbert transform applications in mechanical vibration, M. Feldman. Wiley, United Kingdom (2011), 320 pp., US $135.00, ISBN: 9780470978276 , 2012 .
[14] H. Bourlard,et al. Auto-association by multilayer perceptrons and singular value decomposition , 1988, Biological Cybernetics.
[15] Petros Maragos,et al. Energy separation in signal modulations with application to speech analysis , 1993, IEEE Trans. Signal Process..
[16] Petros Maragos,et al. A comparison of the energy operator and the Hilbert transform approach to signal and speech demodulation , 1994, Signal Process..
[17] M. Kramer. Nonlinear principal component analysis using autoassociative neural networks , 1991 .
[18] Ricardo Vigário,et al. Nonlinear PCA: a new hierarchical approach , 2002, ESANN.
[19] Gunner Chr. Larsen,et al. Fundamentals for remote structural health monitoring of wind turbine blades - a preproject , 2002 .
[20] Yaguo Lei,et al. A review on empirical mode decomposition in fault diagnosis of rotating machinery , 2013 .
[21] C. P. Debel,et al. Full scale testing of wind turbine blade to failure - flapwise loading , 2004 .
[22] Norden E. Huang,et al. On Instantaneous Frequency , 2009, Adv. Data Sci. Adapt. Anal..
[23] S. Qian,et al. Joint time-frequency analysis , 1999, IEEE Signal Process. Mag..
[24] Ian T. Nabney,et al. Netlab: Algorithms for Pattern Recognition , 2002 .
[25] Fulei Chu,et al. Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography , 2004 .
[26] C. P. Debel,et al. Improved design of large wind turbine blade of fibre composites based on studies of scale effects (Phase 1) - Summary Report , 2004 .
[27] Nathalie Japkowicz,et al. Nonlinear Autoassociation Is Not Equivalent to PCA , 2000, Neural Computation.
[28] Charles R. Farrar,et al. Novelty detection under changing environmental conditions , 2001, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[29] Gyuhae Park,et al. Full-scale fatigue tests of CX-100 wind turbine blades. Part I: testing , 2012, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[30] E. Lund,et al. Structural collapse of a wind turbine blade. Part A: Static test and equivalent single layered models , 2010 .
[31] Michael Feldman,et al. Hilbert Transform Applications in Mechanical Vibration: Feldman/Hilbert Transform Applications in Mechanical Vibration , 2011 .
[32] Chuan Li,et al. A generalized synchrosqueezing transform for enhancing signal time-frequency representation , 2012, Signal Process..
[33] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..
[34] Gyuhae Park,et al. Full-scale fatigue tests of CX-100 wind turbine blades. Part II: analysis , 2012, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[35] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[36] Keith Worden,et al. EXPERIMENTAL VALIDATION OF A STRUCTURAL HEALTH MONITORING METHODOLOGY: PART II. NOVELTY DETECTION ON A GNAT AIRCRAFT , 2003 .
[37] Lionel Tarassenko,et al. Novelty detection for the identification of abnormalities , 2000, Int. J. Syst. Sci..
[38] Boualem Boashash,et al. Estimating and interpreting the instantaneous frequency of a signal. II. A/lgorithms and applications , 1992, Proc. IEEE.