Reliable spurious mode rejection using self learning algorithms

Proceedings of the 2004 International Conference on Noise and Vibration Engineering, ISMA

Volumn , Issue , 2004, Pages 991-1003

  Goethals, Ivan ^a   Vanluyten, Bart ^a   De Moor, Bart ^a  

^a UNIVERSITY OF LEUVEN   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; FUZZY SETS; LEARNING ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; STABILIZATION; VECTORS; VIBRATION CONTROL;

LEAST SQUARE SUPPORT VECTOR MACHINES (LS-SVM); SPURIOUS MODE REJECTION; STABILIZATION DIAGRAMS; VIBRATIONAL MODES;

SPURIOUS SIGNAL NOISE;

EID: 13344286273     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. I. Goethals, B. De Moor, "Model reduction and energy analysis as a tool to detect spurious modes," Proceedings of the International Conference on Noise and Vibration Engineering (ISMA), Leuven, Belgium, Jun. 2002.
2. I. Goethals, B. De Moor, "Subspace identification combined with new mode selection techniques for modal analysis of an airplane," Proceedings of the 13th IFAC symposium on system identification (SYSID 2003), Rotterdam, the Nederlands, Sep. 2003.
3. I. Goethals, L. Mevel, A. Benveniste, B. De Moor, "Recursive output-only subspace identification for in-flight flutter monitoring," Proceedings of the 22nd International Modal Analysis Conference (IMAC-XXII), Dearborn, Michigan, Jan. 2004.
4. J. A. Hartigan, M.A. Wong, "A K-means clustering algorithm," Applied Statistics 28, 1979, pp. 100-108.
5. B. Peeters, Steel mast website, http://www.kuleuven.ac.be/bwm/macec/mast.htm, March 1999.
6. B. Peeters, System Identification and Damage Detection in Civil Engineering, PhD thesis, K.U.Leuven, Leuven, Belgium, 2000. Available on http://www.kuleuven.ac.be/bwm/peet00a.pdf.
7. M. Scionti, J. Lanslots, I. Goethals, A. Vecchio, H. Van der Auweraer, B. Peeters, B. De Moor, "Tools to improve detection of structural changes from in-flight flutter data,", Proceedings of the Eigth International Conference on Recent Advances in Structural Dynamics (ISVR), Southampton, UK, Jul. 2003.
8. J.A.K. Suykens, J. Vandewalle. "Least squares support vector machine classifiers," Neural Processing Letters, 9(3):293-300, 1999.
9. J.A.K. Suykens, T. Van Gestel, J. De Brabanter, B. De Moor, J. Vandewalle. "Least Squares Support Vector Machines," World Scientific, 2002.
10. H. Van der Auweraer, "Structural Dynamics Modeling using Modal Analysis: Applications, Trends and Challenges," Proceedings of the 2001 IEEE Instrumentation and Measurement Technology Conference, Budapest, Hungary, 2001.
11. P. Van Overschee, B. De Moor, "Subspace algorithms for the stochastic identification problem," Automatica, vol. 29, no. 3, Mar. 1993, pp. 649-660.
12. P. Van Overschee, B. De Moor, "A unifying theorem for three subspace system identification algorithms", Automatica, Special Issue on Trends in System Identification, vol. 31, no. 12, Dec. 1995, pp. 1853-1864.
13. P. Van Overschee, B. De Moor, Subspace Identification for Linear Systems, Theory, Implementation, Application, Kluwer Academic Publishers, 1996.
14. V.N. Vapnik. Statistical Learning Theory, John Wiley and Sons, 1998.
15. P. Verboven, E. Parloo, P. Guillaume, M. Van Overmeire, "Autonomous Structural Health monitoring part 1: Modal Parameter Estimation and Tracking," Mechanical Systems and Signal Processing, 16, no. 4, 2002, pp. 637-657.