Dynamic data-driven fault diagnosis of wind turbine systems

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4487 LNCS, Issue , 2007, Pages 1197-1204

  Ding, Yu ^a   Byon, Eunshin ^a   Park, Chiwoo ^a   Tang, Jiong ^b   Lu, Yi ^b   Wang, Xin ^b  

^a TEXAS A AND M UNIVERSITY   (United States)

^b UNIVERSITY OF CONNECTICUT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; COMPUTER CONTROL SYSTEMS; DATA STRUCTURES; FAILURE ANALYSIS; RISK ASSESSMENT; WIND TURBINES;

COMPETITIVE ALTERNATIVES; ENERGY MARKET;

DYNAMICAL SYSTEMS;

EID: 37249071979     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72584-8_156     Document Type: Conference Paper

References (11)

1. National Wind Technology Center, Wind Program Multi-Year Technical Plan, http://www.nrel.gov/wind_meetings/2003_imp_meeting/pdfs/mytp_nov_2003.pdf.
2. Zou, Y., Tong, L., and Steven, G.P.: Vibration-based model-dependent damage (delamination) identification and health monitoring for composite structures - a review. Journal of Sound and Vibration, 230 (2000) 357-378.
3. Turner, LR., and Huff, E.M.: Analysis of triaxial vibration data for health monitoring of helicopter gearboxes. ASME Journal of Vibration and Acoustics. 125 (2003) 120 - 128.
4. Newland, D.E.: Harmonic wavelet analysis. Proceedings: Mathematical and Physical Sciences. 443 (1993) 203-225.
5. Liu, B.: Adaptive harmonic wavelet transform with applications in vibration analysis. Journal of Sound and Vibration. 262 (2003) 45-64.
6. Konstantinides, K., and Yao, K.: Statistical analysis of effective singular value in matrix rank determination. IEEE Transactions on Acoustics, Speech & Signal Processing. 36 (1988) 757-763.
7. Johnson, R.A., and Wichern, D.W.: Applied Multivariate Statistical Analysis, 5th Edition. Prentice Hall (2002).
8. Baruah P. and Chinnam, R. B.: HMMs for diagnosis and prognosis in machining process. International Journal of Production Research. 43 (2005) 1275-1293.
9. European Commission: Advanced maintenance and repair for offshore wind farms using fault prediction and condition monitoring techniques. Project report of European Commission under Contract NNE5/2001/710 (2005).
10. Gebraeel, N.: Sensory-updated residual life distributions for components with exponential degradation patterns. IEEE Transactions on Automation Science & Engineering. 3 (2006) 382-393.
11. Pedregal, D.J. and Carnero, M. C.: State space models for condition monitoring: a case study. Reliability Engineering & System Safety. 91 (2006) 171-180.