Damage classification structural health monitoring in bolted structures using time-frequency techniques

Journal of Intelligent Material Systems and Structures

Volumn 20, Issue 11, 2009, Pages 1289-1305

  Chakraborty, Debejyo ^a   Kovvali, Narayan ^a   Wei, Jun ^a   Papandreou Suppappola, Antonia ^a   Cochran, Douglas ^a   Chattopadhyay, Aditi ^a  

^a Arizona State University   (United States)

Author keywords

damage classification; fastener failure.; matching pursuit decomposition; sensor fusion; Structural health monitoring; time frequency analysis

Indexed keywords

ADVANCED SIGNAL PROCESSING; ALGORITHM PERFORMANCE; ALUMINUM PLATES; BAYESIAN; BOLTED STRUCTURES; CLASSIFICATION METHODS; CLASSIFICATION PERFORMANCE; DAMAGE CLASSIFICATION; DAMAGE FEATURES; DECOMPOSITION ALGORITHM; FAILURE DAMAGE; GAUSSIAN BASIS FUNCTIONS; GAUSSIAN FUNCTIONS; LINEAR COMBINATIONS; MATCHING PURSUIT; MATCHING PURSUIT DECOMPOSITION; MULTIPLE SENSORS; ON TIME; REAL MEASURED DATA; SENSOR FUSION; SIGNAL REPRESENTATIONS; TIME FREQUENCY; TIME VARYING SIGNAL; TIME-FREQUENCY ANALYSIS; TIME-FREQUENCY PLANES; TIME-FREQUENCY TECHNIQUES;

ALUMINA; DAMAGE DETECTION; HEALTH; LOCKS (FASTENERS); SENSORS; SIGNAL PROCESSING; STRUCTURES (BUILT OBJECTS);

STRUCTURAL HEALTH MONITORING;

EID: 67650254739     PISSN: 1045389X     EISSN: 15308138     Source Type: Journal    
DOI: 10.1177/1045389X08100044     Document Type: Article

References (36)

1. Abaqus 2007. Version 6.7.1.
2. Altes, R.A. April 1980. ''Detection, Estimation and Classifcation with Spectrograms, '' The Journal of the Acoustic Society of America, 67 (4). 1232-1246.
3. Bernal, D. and Gunes, B. 2000. ''An Examination of Instantaneous Frequency as a Damage Detection tool,'' In: Engineering Mechanics Conference, Austin, TX.
4. Chakraborty, D., Soni, S., Wei, J., Kovvali, N., Papandreou-Suppappola, A., Cochran, D. and Chattopadhyay, A. 2008. ''Physics Based Modeling for Time-Frequency Damage Classification,'' In: International Symposium on Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, Vol. 6926, San Diego.
5. Channels, L., Chakraborty, D., Simon, D., Kovvali, N., Spicer, J., Papandreou-Suppappola, A., Cochran, D., Peralta, P. and Chattopadhyay, A. 2008. ''Ultrasonic Sensing and Time-frequency Analysis for Detecting Plastic Deformation in an Aluminum Plate,'' In: International Symposium on Smart Structures and Materials & Nondestructive Evaluation and Health Monitoring, Vol. 6926, San Diego.
6. Cohen, L. 1994. Time Frequency Analysis: Theory and Applications, Prentice Hall.
7. Das, S., Papandreou-Suppappola, A., Zhou, X. and Chattopadhyay, A. 2005 ''On the use of the Matching Pursuit Decomposition Signal Processing Technique For Structural Health Monitoring,'' In: SPIE International Symposium on Smart Structures and Materials, Paper 5764-65, San Diego.
8. Das, S., Srivastava, A.N. and Chattopadhyay, A. 2007. ''Classification of Damage Signatures in Composite Plates Using One-class SVMs,'' In: Aerospace Conference, March 2007 IEEE, 1-19.
9. Doebling, S. and Farrar, C.R. 1998. ''Statistical Damage Identification Techniques Applied to the I-40 Bridge Over the Rio Grande,'' In: International Modal Analysis Conference, Santa Barbara, CA.
10. Ebenezer, S.P., Papandreou-Suppappola, A. and Suppappola, S.B. 2004. ''Classification of Acoustic Emissions Using Modified Matching Pursuit, '' EURASIP Journal on Applied Signal Processing, 3: 347-357.
11. Eren, L. and Devaney, M.J. 2004. ''Bearing Damage Detection via Wavelet Packet Decomposition of the Stator Current, '' IEEE Transactions on Instrumentation and Measurement, 53: 431-436.
12. Farrar, C., Nix, D., Duffey, T., Cornwell, P. and Pardoen, G. 1999. ''Damage Identification with Linear Discriminant Operators,'' In: International Modal Analysis Conference, Kissimmee, FL.
13. Farrar, C.R. and Lieven, N.A.J. 2007. ''Damage Prognosis: the Future of Structural Health Monitoring, '' Royal Society of London Transactions Series A, 365: 623-632.
14. Farrar, C.R. and Worden, K. 2007. ''An Introduction to Structural Health Monitoring, '' Philosophical Transactions of the Royal Society A, 365: 303-315.
15. Gelman, L., Giurgiutiu, V. and Petrunin, I. 2004. ''Advantage of Using the Fourier Components Pair Instead of Power Spectral Density for Fatigue Crack Diagnostics, '' International Journal of Condition Monitoring and Diagnostic Engineering Management, 7: 18-22.
16. Hlawatsch, F. and Boudreaux-Bartels, G.F. 1992. ''Linear and Quadratic Time-frequency Signal Representations, '' IEEE Signal Processing Magazine, 9 (2). 21-67.
17. Jeong, H. and Jang, Y. 2000. ''Fracture Source Location in Thin Plates Using the Wavelet Transform of Dispersive Waves, '' IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 47: 612-619.
18. Karasaridis, A., Maalej, M., Pantazopoulou, S. and Hatzinakos, D. 1997. ''Time-frequency Analysis of Sensor Data for Detection of Structural Damage in Instrumented Structures,'' In: International Conference on Digital Signal Processing, 2: 817-820.
19. Mallat, S.G. and Zhang, Z. 1993. ''Matching Pursuits with Time-frequency Dictionaries,'' IEEE Trans. on Signal Processing, 41: 3397-3415.
20. Mallat, S.G. July 1989. ''A Theory for Multiresolution Signal Decomposition: The Wavelet Representation, '' IEEE Transactions on Pattern Analysis and Machine Intelligence, 11 (7). 674-693.
21. Mallat, S. 1998. A Wavelet Tour of Signal Processing, 2 nd edn. Academic Press.
22. Nguyen, M., Wang, X., Su, Z. and Ye, L., 2004. ''Damage Identifcation for Composite Structures with a Bayesian Network,'' In: Intelligent Sensors, Sensor Networks and Information Processing Conference, 307-311.
23. Olson, S.E., DeSimio, M. and Derriso, M.M. 2006. ''Fastener Damage Estimation in a Square Aluminum Plate, '' Structural Health Monitoring, 5: 173-183. (Pubitemid 44251450)
24. Paget, C.A., Grondel, S., Levin, K. and Delebarre, C. 2003. ''Damage Assessment in Composites by Lamb Waves and Wavelet Coefficients, '' Smart Materials and Structures, 12 (3). 393-402.
25. Pakrashia, V., Basu, B. and Connora, A.O. 2007. ''Structural Damage Detection and Calibration Using a Wavelet-Kurtosis Technique, '' Engineering Structures, 29 (9). 2097-2108. (Pubitemid 47181226)
26. Papandreou-Suppappola, A. and Suppappola, S.B. 2002. ''Analysis and Classifcation of Timevarying Signals with Multiple Time-frequency Structures, '' IEEE Signal Processing Letters, 9: 92-95. (Pubitemid 34554873)
27. Papandreou-Suppappola, A. (Ed.) 2002. Applications in Time-Frequency Signal Processing. CRC Press, Florida.
28. Park, G., Sohn, H., Farrar, C.R. and Inman, D.J. 2003. ''Overview of Piezoelectric Impedancebased Health Monitoring and the Path Forward, '' Shock and Vibration Digest, 35 (6). 451-463.
29. Sohn, H. and Farrar, C.R. June 2001. ''Damage Diagnosis using Time Series Analysis of Vibration Signals,'' Smart Material Structures, 10: 446-451.
30. Sohn, H. and Law, K.H. 2000. ''Bayesian Probalistic Damage Detection of a Reinforced-concrete Bridge Column, '' Earthquake Engineering Structural Dynamics, 29: 1139-1152.
31. Sohn, H., Farrar, C.R., Hunter, N.F. and Worden, K. 2001. ''Structural Health Monitoring Using Statistical Pattern Recognition Techniques, '' Transactions of the ASME, 123: 706-711. (Pubitemid 33716002)
32. Sohn, H., Allen, D.W., Worden, K. and Farrar, C.R. 2005. ''Structural Damage Classification Using Extreme Value Statistics, '' Journal of Dynamic Systems, Measurement, and Control, 127: 125-132. (Pubitemid 40773751)
33. Staszewski, W.J., Boller, C. and Tomlinson, G. 2004. Structural Health Monitoring of Aerospace Structures, Smart Sensor Technologies and Signal Processing. John Wiley and Sons, Ltd.
34. Sun, A. and Chang, C.C. July 2004. ''Statistical Wavelet-based Method For Structural Health Monitoring, '' Journal of Structural Engineering, 130 (7). 1055-1062. (Pubitemid 40265006)
35. Taha, M.M.R., Noureldin, A., Lucero, J.L. and Baca, T.J. 2006. ''Wavelet Transform for Structural Health Monitoring: A Compendium of Uses and Features, '' Structural Health Monitoring, 5 (3). 267-295. (Pubitemid 44227713)
36. Vincent, I., Doncarli, C. and Carpentier, E.L. 1994. ''Non Stationary Signals Classification Using Time-frequency Distributions,'' In: IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis, 233-236.