autonomous procedure gives very acceptable results, in some cases superior results, in a fraction of the time required for an experienced user to get the same result. It is important, however, to reiterate that the use of autonomous procedures or wizard tools by users with limited experience is probably not yet appropriate. Such tools are most appropriately used by analysts with the experience to accurately judge the quality of the parameter solutions identified. Future work on this method planned by the authors include: combining the solutions from different UMPA methods (PTD plus RFP-Z plus ERA, for example), further evaluating the sensitivity of control parameters and thresholds, enhancing the statistical descriptors for each estimated set of modal parameters, and investigating more application cases such as purely academic, theoretical examples as well as difficult sets of measured, real-world data cases, including automotive, flight flutter and operating data applications. 7. References [1] Hawkins, F. J., "An Automatic Resonance Testing Technique for Exciting Normal Modes of Vibration of Complex Structures", Symposium IUTAM, "Progres Recents de la Mecanique des Vibrations Lineaires", 1965, pp. 37-41. [2] Hawkins, F. J., "GRAMPA - An Automatic Technique for Exciting the Principal Modes of Vibration of Complex Structures", Royal Aircraft Establishment, RAE-TR-67-211, 1967. [3] Taylor, G. A., Gaukroger, D. R., Skingle, C. W., "MAMA - A Semi-Automatic Technique for Exciting the Principal Modes of Vibration of Complex Structures", Aeronautical Research Council, ARC-R/M-3590, 1967, 20 pp. [4] Allemang, R.J., Phillips, A.W., "The Unified Matrix Polynomial Approach to Understanding Modal Parameter Estimation: An Update", Proceedings, International Conference on Noise and Vibration Engineering (ISMA), 2004. [5] Allemang, R.J., Brown, D.L., "A Unified Matrix Polynomial Approach to Modal Identification", Journal of Sound and Vibration, Vol. 211, No. 3, pp. 301-322, April 1998. [6] Allemang, R.J., Brown, D.L., "A Unified Matrix Polynomial Approach to Modal Identification", Proceedings, IndoUS Symposium on Emerging Trends in Vibration and Noise Engineering, IIT Dehli, India, Allied Publishers Limited, pp. 379-390, March 1996. [7] Allemang, R.J., Brown, D.L., Fladung, W., "Modal Parameter Estimation: A Unified Matrix Polynomial Approach", Proceedings, International Modal Analysis Conference (IMAC), pp. 501-514, 1994. [8] Allemang, R.J., Brown, D.L., "Summary of Technical Work", Experimental Modal Analysis and Dynamic Component Synthesis, USAF Technical Report, Contract Number F33615-83-C-3218, AFWAL-TR-87-3069, Volume 1, 1987. [9] Chauhan, S., Tcherniak, D., "Clustering Approaches to Automatic Modal Parameter Estimation", Proceedings, International Modal Analysis Conference (IMAC), 14 pp., 2008. [10] Chhipwadia, K.S., Zimmerman, D.C. and James III, G.H., "Evolving Autonomous Modal Parameter Estimation", Proceedings, International Modal Analysis Conference (IMAC), pp. 819-825, 1999. [11] James III, G.H., Zimmerman, D.C., Chhipwadia, K.S., "Application of Autonomous Modal Identification to Traditional and Ambient Data Sets", Proceedings, International Modal Analysis Conference (IMAC), pp. 840-845, 1999. [12] Lanslots, J., Rodiers, B., Peeters, B., "Automated Pole-Selection: Proof-of-Concept and Validation", Proceedings, International Conference on Noise and Vibration Engineering (ISMA), 2004. [13] Lau, J., Lanslots, J., Peeters, B., Van der Auweraer, "Automatic Modal Analysis: Reality or Myth?", Proceedings, International Modal Analysis Conference (IMAC), 10 pp., 2007. [14] Lim, T., Cabell, R. and Silcox,R., "On-line Identification of Modal Parameters Using Artificial Neural Networks", Journal of Vibration and Accoustics, Vol. 118 No. 4, pp. 649-656, 1996. [15] Liu, J.M., Ying, H.Q., Shen, S., Dong, S.W., "The Function of Modal Important Index in Autonomous Modal Analysis", Proceedings, International Modal Analysis Conference (IMAC), 6 pp., 2007. 381
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