System Identification with Noisy Data

Abstract

System identification from the field obtained data is not successful till date because of the noise in the sensor or measured. The unknown system parameter for any unknown damage is still a long way to move. In this paper finite element technique is applied on the simulated damaged structures. The damage detection for the noise free data is extended and tried for the random noisy sensor data. The proposed algorithm is used to predict the system parameter on static deflection data with introduction of some random noisy data using simulated structure. The developed algorithm is applied on bridge truss structure for the identification of the damaged system parameter prediction.