A gaussian process based prognostics framework for composite structures

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7286, Issue , 2009, Pages

  Liu, Yingtao ^a   Mohanty, Subhasish ^a   Chattopadhyay, Aditi ^a  

^a Arizona State University   (United States)

Author keywords

Feature extraction; Prognostics; Remaining useful life estimation; Wavelet transform

Indexed keywords

ADVANCED COMPOSITE MATERIALS; COMBINED STATE; COMPOSITE BEAM; DAMAGE STATE; EXPERIMENTAL DATA; FATIGUE LIFE; FATIGUE LOADINGS; FAULT DETECTION AND DIAGNOSIS; GAUSSIAN PROCESSES; GOOD CORRELATIONS; INPUT AND OUTPUTS; LIFE PREDICTIONS; MAINTENANCE PLANNING; ON-LINE ALGORITHMS; ONLINE METHODS; PROGNOSTICS; REMAINING USEFUL LIFE ESTIMATION; REMAINING USEFUL LIVES; RESEARCH COMMUNITIES; SENSING FEATURES; SENSING TECHNIQUES; STATE PREDICTION; STRUCTURAL MONITORING; TEST CASE; TRAINING SETS;

ACOUSTIC EMISSIONS; COMPOSITE MATERIALS; COMPOSITE MICROMECHANICS; CONCRETE BRIDGES; CONDITION MONITORING; DIAGNOSIS; ESTIMATION; FATIGUE DAMAGE; FAULT DETECTION; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); METAL RECOVERY; PIEZOELECTRIC TRANSDUCERS; PIEZOELECTRICITY; SENSORS; SIGNAL PROCESSING; STRUCTURE (COMPOSITION); WAVELET TRANSFORMS;

FEATURE EXTRACTION;

EID: 69649098264     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.815889     Document Type: Conference Paper

References (11)

1. Garnich, M., Review of degradation models for progressive failure analysis of fiber reinforced polymer composites. Applied Mechanics Reviews, vol.62, pp. 010802, 1-33, 2009.
2. Kam, T.Y., Chu, K.H. and Tsai, S.Y., Fatigue reliability evaluation for composite laminates via a direct numerical integration technique. International Journal of Solids Structures, vol.35, pp.1411-1423, 1998.
3. Puck, A. and Schürmann, H., Failure Analysis of FRP Laminates by Means of Physically Based Phenomenological Models. Composite Science Technology, vol58, pp. 1045-1067, 1998.
4. Puck, A. and Schürmann, H., Failure Analysis of FRP Laminates by Means of Physically Based Phenomenological Models-Part B. Composite Science Technology, vol62, pp. 1633-1662, 2002.
5. Coats, T. W. and Harris, C. E., A Progressive Damage Methodology for Residual Strength Predictions of Notched Composite Panels. Journal of Composite Materials, vol33, pp. 2193-2224, 1999.
6. Kessler, S.S., Spearing, S.M. and Soutis, C., Damage detection in composite materials using lamb wave methods. Proceedings of the American Society for Composites, Blacksburg, VA, 9-12 September, 2001.
7. Su, Z., Ye, L. and Lu, Y., Guided Lamb waves for identification of damage in composite structures: a review. Journal of Sound and Vibration, vol.295 (3-5), pp. 753-780, 2006. (Pubitemid 44192376)
8. Chang, F.K., Markmiller, J. F. C., Ihn, J.B. and Cheng, K. Y., A potential link from damage diagnostics to health prognostics of composites through built-in sensors. Journal of Vibration and Acoustics, vol.129, pp718-29, 2007.
9. MacKay, D.J.C., ?Introduction to Gaussian processes?, In C. M. Bishop, editor, Neural Networks and Machine Learning, Vol.168 of NATO ASI Series, pages 133-165. Springer, Berlin, 1998.
10. Rasmussen, C. and Williams C., Gaussian Processes for Machine Learning, The MIT Press, Cambridge, MA, 2006.
11. Young, R.K., Wavelets Theory and Its Applications, Kluwer Academic Publishers, Boston, 1993.