Helicopter rotor blade frequency evolution with damage growth and signal processing

Journal of Sound and Vibration

Volumn 283, Issue 3-5, 2005, Pages 821-851

  Roy, Niranjan ^a   Ganguli, Ranjan ^a  

^a INDIAN INSTITUTE OF SCIENCE   (India)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITE MATERIALS; COMPUTATIONAL COMPLEXITY; FREQUENCIES; GENETIC ALGORITHMS; HEALTH CARE; MATHEMATICAL MODELS; SIGNAL PROCESSING;

FIBER BREAKAGE; FREQUENCY EVOLUTION; MATRIX CRACKING; TORSION ROTATING FREQUENCIES;

HELICOPTER ROTORS;

EID: 15944398015     PISSN: 0022460X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsv.2004.05.015     Document Type: Article

References (42)

1. H. Azzam, and M.J. Andrews The use of math dynamic models to aid the development of integrated health and usage monitoring systems Proceedings of The Institution of Mechanical Engineers 206 G1 1992
2. J. Alkahe, Y. Oshman, and O. Rand Adaptive estimation methodology for helicopter blade structural damage detection Journal of Guidance, Control, and Dynamics 25 2002 1049 1057
3. R. Ganguli Health monitoring of a helicopter rotor in forward flight using fuzzy logic AIAA Journal 40 2002 2373 2382
4. R. Ganguli, I. Chopra, and D.J. Haas Detection of helicopter rotor system simulated faults using neural networks Journal of the American Helicopter Society 42 2 1997 161 171
5. J. Kiddy, and D. Pines Damage detection of main rotor faults using a sensitivity approach Proceedings of the Institute of Mechanical Eineers Part I Journal of Systems & Control in Engineering 215 2001 209 220
6. J. Cattarius, and D.J. Inman Experimental verification of intelligent fault detection in rotor blades International Journal of Systems Science 31 2000 1375 1379
7. R. Ganguli A fuzzy logic system for ground based structural health monitoring of a helicopter rotor using modal data Journal of Intelligent Material Systems and Structures 12 2001 397 408
8. G.C. Larsen, A.M. Hansen, O.J.D. Kristensen, Identification of damage to wind turbine blades by modal parameter estimation, Report Riso-R-1334 (EN), Riso National Laboratory, Roskilde, Denmark, 2002.
9. K.H. Rew, S. Kim, I. Lee, and Y. Park Real time estimation of multi-modal frequencies for smart structures Smart Materials and Structures 11 2002 36 47
10. R. Brinker, L. Zhang, and P. Andersen Modal identification of output-only system using frequency domain decomposition Smart Materials and Structures 10 2001 441 445
11. I. Bucher, and D.J. Ewins Modal analysis and testing of rotating structures Philosophical Transactions of the Royal Society of London, Series A Mathematical and Physical Sciences 359 2001 61 96
12. W.K. Wilkie, P.H. Mirick, C.W. Langston, Rotating shake test and modal analysis of a model helicopter rotor blade, NASA Technical Memorandum 4760, ARL Technical Report 1389, June 1997.
13. D.E. Adams, and M. Nataraju A nonlinear dynamics system for structural diagnosis and prognosis International Journal of Engineering Science 40 2002 1919 1941
14. D. Chelidze, and J.P. Cusumano A dynamical system approach to failure prognosis Journal of Vibration and Acoustics 126 2004 2 8
15. A. Fatemi, and L. Yang Cumulative fatigue damage and life prediction theories a survey of the state of the art for homogeneous materials International Journal of Fatigue 20 1998 9 34
16. J. Degrieck, and W. Van Paepegem Fatigue damage modeling of fibre-reinforced composite materials review Applied Mechanics Reviews 54 2001 279 300
17. S. Nicholas, and R. Russ Elevated temperature fatigue behavior of SCS-6/Ti-24Al-11Nb Material Science Engineering A 153 1992 514 519
18. S. Subramanian, K.L. Reifsnider, and W.W. Stichcomb A cumulative damage model to predict the fatigue life of composite laminates including the effect of a fibre-matrix interface International Journal of Fatigue 17 1995 343 351
19. H.G. Halverson, W.A. Curtin, and K.L. Reifsnider Fatigue life of individual composite specimens based on intrinsic fatigue behavior International Journal of Fatigue 19 1997 369 377
20. H. Mao, and S. Mahadevan Fatigue damage modeling of composite materials Composite Structures 58 2002 405 410
21. T. C Moon, H.Y. Kim, and W. Hwang Natural frequency reduction model for matrix dominated fatigue damage of composite laminates Composite Structures 62 2003 19 26
22. N.E. Bedewi, and D.N. Kung Effect of fatigue loading on the modal properties of composite structures and its utilization for prediction of residual life Composite Structures 37 1997 357 371
23. D.H. Hodges, E.H. Dowell, Nonlinear equations of motion for the elastic bending and tortion twisted non-uniform rotor blades, 1974, NASA TN D-7818.
24. R.R.K. Reddy, and R. Ganguli Structural damage detection in a helicopter rotor blade using radial basis function neural networks Smart Structures and Materials 12 2003 232 241
25. I. Chopra, N. T. Sivaneri, Aeroelastic stability of rotor blades using finite element analysis, 1982, NASA CR 166389.
26. J. Lemaitre A Course on Damage Mechanics 1992 Springer Berlin
27. I. Shmulevich, E.J. Coyle, The use of recursive median filters for establishing the tonal context of music, IEEE Workshop on Nonlinear Signal and Image Processing, Michigan, USA 1997.
28. G.R. Arce, and J.L. Paredes Recursive weighted median filter admitting negative weights and their optimization IEEE Transactions on Signal Processing 48 3 2000 768 779
29. L. Yin, M. Yang, M. Gabbouj, and Y. Neuvo Weighted median filters a tutorial IEEE Transactions on Circuits and Systems 40 1996 147 192
30. C.N. So, J.G. Lucas, Neural network classifier and filtering for EEG detection in brain-computer interface device, in: Second Conference of the Victorian Chapter of the IEEE Engineering in Medicine and Biology Society, Victoria, Canada, 2001.
31. D. Lin, J.E. Dayhoff, and P.A. Ligomenides Trajectory production with the adaptive time-delay neural network Neural Networks 8 3 1995 447 461
32. J. Leonard, M. Kramer, and L.H. Unger Using radial basis functions to approximate a function and its error bounds IEEE Transactions on Neural Networks 3 1992 624 627
33. B.B. Hubbard, The World According to Wavelets, Peters, Wellesley, 1996.
34. R. Ganguli Optimum design of a helicopter rotor for low vibration using aeroelastic analysis and response surface methods Journal of Sound and Vibration 258 2 2002 327 344
35. A.D. Belegundu, and T.R. Chandrapatla Optimization Concepts and application in Engineering 1999 Prentice- Hall Englewood Cliffs, NJ
36. J.J. Gertler Fault Detection and Diagnosis in Engineering System 1998 Marcel Dekker New York
37. M.I. Friswell, Penny Jet, Is damage detection using vibration measurements practical?, in: EUROMECH 65 International Workshop: DAMAS 97; Structural Damage Assessment Using Advanced Signal Processing Procedures, Sheffield, UK, 1997.
38. P. Anberton, and G.C. Goodwin Virtual sensor for control applications Annual Reviews in Control 26 2002 101 112
39. D.E. Goldberg, Genetic algorithms in search, optimization, and machine learning, The University of Alabama, 1989.
40. J.P. Havliceck, G.R. Katz, and J.C. McKeeman Even length median filter in optimal signal processing Electronic Letters 28 1995 1258 1260
41. S. Alliney Recursive median filters of increasing order a variational approach IEEE Transactions on Signal Processing 44 1996 1346 1354
42. H. Krim, and I.C. Schick Minimax description length for signal denoising and optimized representation IEEE Transactions on Information Theory 45 3 1999 898 908