Parameter Identification in a Beam from Experimental Vibration Measurements Using Particle Filtering
The focus of the present study is on the development of a methodology for estimating the parameters of a cantilever beam based on experimentally measured vibration response. A aluminum cantilever beam of known dimensions is excited at a known location and the tip accelerations are measured. Subsequently, a particle-filtering-based strategy is used to estimate the system parameters from the vibration response.
KeywordsSystem identification Health monitoring Dynamic state estimation Particle filtering Vibrations
This study has been supported by Aeronautical Development Agency, Govt. of India under the National Program on Micro and Smart Systems (NPMASS).
- 4.Gordon NJ, Salmond DJ, Smith AFM (1993) Novel approach to nonlinear/nonGaussian Bayesian state estimation. IEE Proc F 140(2):107–113Google Scholar
- 6.Nasrellah HA, Manohar CS (2011) Particle filters for structural system identification using multiple test and sensor data: a combined computational and experimental study. Struct Control Health Monit 18(1):99–120Google Scholar
- 7.Kalman RE (1960) A new approach to linear filtering and prediction problems. ASME J Basic Eng 82(D):35–45Google Scholar
- 9.Rangaraj R, Rao L, Banerjee A, Gupta S (2011) Identification of Fatigue Cracks in vibrating beams using a particle filtering algorithm. National Aerospace seminar on aircraft structures. IIT, KanpurGoogle Scholar