Experimental identification of a lumped mass-spring system based on maximum likelihood estimation using steady response distribution of Fokker-Planck equation

Author:

TAKATA Soichiro1

Affiliation:

1. Department of Mechanical Engineering, National Institute of Technology, Tokyo College

Publisher

Japan Society of Mechanical Engineers

Subject

General Medicine

Reference12 articles.

1. Adachi, S., Fundamentals of system identification, Tokyo Denki University Press (2009) p.98, (in Japanese).

2. Brincker, R., Anderson, P. and Zhang, L., Modal identification from ambient responses using frequency domain decomposition, In Proceedings of the 18th International Modal Analysis Conference (IMAC) (2000), pp.625-630.

3. Krishnan, N. K. and Kiremidjian, A. S., Time series based structural damage detection algorithm using Gausian mixtures modeling, Transactions of the ASME, Journal of Dynamic system, measurement and control, Vol.129 (2007), pp.285–293.

4. Lu, Y. and Gao, F., A novel time-domain auto-regressive model for structural damage diagnosis, Journal of Sound and Vibration, Vol.283 (2005), pp.1031-1049.

5. Masjedian, M. H. and Kershmiri, M., A review on operational modal analysis researches: classification of methods and applications, In Proceedings of the 3rd International Operational Modal Analysis Conference (IOMAC) (2009), pp.707-716.

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