Extended Kalman filtering for the detection of damage in linear mechanical structures

Journal of Sound and Vibration

Volumn 325, Issue 4-5, 2009, Pages 1023-1046

  Liu, X ^a   Escamilla Ambrosio, P J ^a   Lieven, N A J ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COSTS; ESTIMATION RESULTS; EXTENDED KALMAN FILTERING; FINITE-ELEMENT MODEL UPDATING; FREQUENCY-DOMAIN IDENTIFICATION; FUZZY LOGIC MODEL; INITIAL ESTIMATION; INITIAL VALUES; ITERATION METHOD; LOCALISATION; MEASUREMENT NOISE; MECHANICAL STRUCTURES; MECHANICAL SYSTEMS; MODAL DOMAIN; MULTIPLE MODELS; PROCESS NOISE; REAL EXAMPLE; TIME-DOMAIN METHODS; VIBRATING STRUCTURES;

ACOUSTIC NOISE; CELLULAR RADIO SYSTEMS; CONTROL THEORY; COVARIANCE MATRIX; DAMAGE DETECTION; ESTIMATION; EXTENDED KALMAN FILTERS; FUZZY LOGIC; SPEECH RECOGNITION; SPURIOUS SIGNAL NOISE; VIBRATION MEASUREMENT;

TIME DOMAIN ANALYSIS;

EID: 67649494343     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2009.04.005     Document Type: Article

References (19)

1. H. Sohn, C.R. Farrar, F.M. Hemez, D.D. Shunk, S.W. Stinemates, B.R. Nadler, J.J. Czarnecki, A review of structural health monitoring literature form 1996-2001, Report LA-13976-MS, Los Alamos National Laboratory, 2004.
2. A. Rytter, Vibration Based Inspection of Civil Engineering Structures, PhD Thesis, Department of Building Technology and Structural Engineering, Aalborg University, 1993.
3. C.R. Farrar, S.W. Doebling, An overview of modal-based damage identification methods, Proceedings of DAMAS Conference, Sheffield, UK, June 1997.
4. Friswell M., and Mottershead J.E. Finite Element Model Updating in Structural Dynamics (1995), Kluwer Academic Publishers, The Netherlands
5. Young P.C. An instrumental variables method for real-time identification of a noisy process. Automatica 6 (1970) 271-288
6. Masri S.F., and Caughey T.K. A nonparametric identification technique or nonlinear dynamic problems. Journal of Applied Mechanics 46 (1979) 433-447
7. Jazwinski A.H. Stochastic Process and Filtering Theory (1970), Academic Press, New York
8. Fritzen C.-P., and Zhu S. Updating of finite element models by means of measured information. Computers and Structures 40 (1991) 475-486
9. C.-P. Fritzen, S. Seibold, D. Buchen, Application of filter techniques for damage detection in linear and nonlinear mechanical structures, Proceedings of the 13th International Modal Analysis Conference, 1995, pp. 1874-1881.
10. K.F. Alvin, Efficient computation of eigenvector sensitivities for structural dynamics via conjugate gradients, Proceedings of the 16th International Modal Analysis Conference, 1998, pp. 652-659.
11. Magill D.T. Optimal adaptive estimation of sampled stochastic processes. IEEE Transactions on Automatic Control AC-10 4 (1965) 434-439
12. Hanlon P.D., and Maybeck P.S. Multiple-model adaptive estimation using a residual correlation Kalman filter bank. IEEE Transactions on Aerospace and Electronic Systems 36 2 (2000) 393-406
13. Maybeck P.S., and Hanlon P.D. Performance enhancements of a multiple model adaptive estimator. IEEE Transactions on Aerospace and Electronic Systems 31 4 (1995) 1240-1254
14. Bar-Shalom Y., Li X.R., and Kirubarajan T. Estimation with Applications to Tracking and Navigation: Theory Algorithms and Software (2001), Wiley-Interscience, USA
15. Hoshiya M., and Sutoh A. Kalman filter-finite element method in identification. Journal of Engineering Mechanics 119 2 (1993) 197-210
16. Hoshiya M., and Saito E. Structural identification by extended Kalman filter. Journal of Engineering Mechanics (ASCE) 110 12 (1984) 1757-1771
17. Lin J.-S., and Zhang Y. Nonlinear structural identification using extended Kalman filter. Computers and Structures 52 4 (1994) 757-764
18. Sasiadek J.Z., and Wang Q. Low cost automation using INS/GPS data fusion for accurate positioning. Robotica 21 (2003) 255-260
19. N. Quijano, K. Passino, A tutorial introduction to control systems development and implementation with dSPACE, 〈http://www.ece.osu.edu/_passino/dSPACEtutorial.doc.pdf〉.