Structural damage diagnosis by Kalman model based on stochastic subspace identification

Structural Health Monitoring

Volumn 3, Issue 2, 2004, Pages 103-119

  Yan, Ai Min ^a   De Boe, Pascal ^a   Golinval, Jean Claude ^a  

^a UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

Aircraft model; Bridge diagnosis; Damage diagnosis; Damage location; Kalman model; Novelty detection; Stochastic subspace identification

Indexed keywords

EID: 17644395448     PISSN: 14759217     EISSN: None     Source Type: Journal    
DOI: 10.1177/1475921704042545     Document Type: Article

References (22)

1. Doebling, S.W., Farrar, C.R, Prime, M.B. and Shevitz, D.W. (1996): Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review. Los Alamos National Laboratory Report LA-13070-MS.
2. Zimmerman, D.C. and Kaout, M. (1994). Structural damage detection using a minimum rank update theory. Journal of Vibration and Acoustics, 116, 222-231.
3. Ren, W.X. and De Roeck, G. (2002). Structural damage identification using modal data. I: Simulation verification; II Test verification. Journal of Struc. Eng. 128, 87-104.
4. Yan, A.M. and Golinval, J.C. (2002). Model updating based on frequency response functions using a general finite element code. European Journal of Mech. and Environ. Eng. 48(3).
5. Basseville, M., Abdelghani, M. and Benveniste, A. (2000). Subspace-based fault detection algorithms for vibration monitoring. Automatica 36, 101-109.
6. Sohn, H. and Farrar, C.F. (2001). Damage diagnosis using time series analysis of vibration signals. Smart Mater. Struct. 10, 1-6.
7. Friswell, M.I. and Inman, D.J. (2000). Sensor validation for SMART structures. IMAC XVIII (18th International Modal Analysis Conference), (pp. 483-489). San Antonio.
8. De Boe, P. and Golinval, J.C. (2003). Principal component analysis of piezo-sensor array for damage localization, Structural Health Monitoring, 2(2), 137-144.
9. Provasi, R., Zanetta, G.A. and Vania, A. (2000). The extended Kalman filter in the frequency domain for the identification of mechanical structures excited by sinusoidal multiple inputs, Mechanical Systems and Signal Processing, 14(3), 327-341.
10. Kerr, L.J., Nemec, T.S. and Gallops, G.W. (1992). Real-time estimation of gas turbine engine damage using a control-based Kalman filter algorithm. Journal of Engineering for Gas Turbines and Power, Transactions of the ASME, 114(2), 187-195.
11. Caliskan, F. and Hajiyevb, C.M. (2000). Innovation sequence application to aircraft sensor fault detection: comparison of checking covariance matrix algorithms. ISA Transactions 39, 47-56.
12. Naurez, A. and Fritzen, C.P. (2001). Model based damage identification using output spectral densities. Journal of Dynamic Systems, Measurement, and Control, 123(4), 691-698.
13. Herring, T.A. (1997). GLOBK: Global Kalman Filter VLBI and GPS analysis program. Mass. Inst. of Technol., Cambridge, 4(1).
14. Mehra, R., Rago, C., Seereeram, S. and Bayard, D.S. (1998). Autonomous failure detection, identification and fault-tolerant estimation for spacecraft guidance, navigation and control, AIP Conference Proceedings, 420(1), 134-140.
15. Van Overschee, P. and De Moor, B. (1996). Subspace identification for linear systems: theory implementation - applications. Dordrecht, Netherlands: Kluwer Academic Publishers.
16. Astrom, K.J. and Wittenmark, B. (1990). Computer-controlled systems - theory and design. (2nd ed.), Prentice-Hall International, Inc., Upper River Saddle, NJ, USA.
17. Peeters, B. and De Roeck, G. (1999). Reference-based stochastic subspace identification for output-only modal analysis. Mechanical Systems and Signal Processing, 13(6), 855-878.
18. De Cock, K., Peeters, B., Vecchio, A., Auweraer, H.V.D. and De Moor, B. (2002). Subspace system identification for mechanical engineering. Proceedings of ISMA 2002, 1333-1352.
19. Sohn, H., Worden, K. and Farrar, C.F. (2001). Novelty detection under changing environmental conditions. SPIE's 8th Annual International Symposium on Smart Structures and Materials, Newport Beach, CA. (LA-UR-01-1894).
20. Worden, K., Manson, G. and Fieller, N.R.J. (2000). Damage detection using outlier analysis. Journal of Sound and Vibration, 229(3), 647-667.
21. Yan, A.M., De Boe, P. and Golinval, J.C. (2003). Structural damage location by measured flexibility and stiffness via stochastic subspace identification. LTAS-VIS Research Report. To be published in SEMC 2004. 5-7 July 2004, Cape Town.
22. Brincker, R. and Andersen, P. (2002). Identification of all progressive damage tests on the Z24 highway bridge. IMAC-XX: A conference on structural dynamics, Los Angeles, California. Paper N°338.