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Improvement of Real-Time Vibration Field Prediction of Structures Through Sensor Signal Noise Reduction

摘要


This study aimed to develop a model to accurately predict the vibration signal of structural systems in real-time. This paper proposed the method to estimate the real-time vibration field of the whole structure using a limited number of acceleration sensor signals. The modal expansion method (MEM) is the technique to estimate the modal participation factors using the modal matrix and some vibration responses of the structure. In previous studies, MEM has usually been utilized for the estimation of vibration response in the frequency domain. However, MEM for the real-time estimation of vibration field, which uses noise-contaminated acceleration signals, has been hardly studied. Therefore, by using the Kalman filter and MEM, this paper proposed the method not only to reduce the noise in acceleration signal of the time domain but also to estimate the displacement, velocity and acceleration vibration field of a whole structure.

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