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CSME 2020/06
Volume 41 No.3
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353-362
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Improvement of Real-Time Vibration Field Prediction of Structures Through Sensor Signal Noise Reduction
Min Jung Sim a, Byung-Kyoo Jung b, Man-Su Park c and Weui-Bong Jeong a
aDepartment of Mechanical Engineering, Pusan National University, Busan 609-735, Republic of Korea
bAgency for Defence Development, Jinhae, 51678, Republic of Korea
cLG Electronics, Changwon, 51554, Republic of Korea
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Abstract:
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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Keywords: modal expansion method, modal participation factor, Kalman filter, vibration field visualization
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*Corresponding author; e-mail: wbjeong@pusan.ac.kr
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©
2020
CSME , ISSN 0257-9731
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