Abstract
The paper describes a Kalman filtering technique for dynamic displacement estimation using accelerometer and laser sensor measurements. Data fusion of measurements from multiple sensors can give the more accurate results because of different advantages of sensors. Since the acceleration and displacement have different sampling rates, the multi-rate Kalman filter is applied. The filter is expanded with the fixed interval smoother to improve reconstruction accuracy of displacements. A modelled signal consisting of two sinus functions and Gaussian distributed noise is used to validate developed state-space model.
Highlights
The vibration analysis is useful for the surveillance of a structure safety and structural health monitoring
In the exploration process of flow-induced vibrations in the rod bundle, two main interesting parameters are the rod oscillation frequency depending on surrounding flow velocity and the relationship between the rod position and the flow velocity
Using direct numerical double-integration of acceleration measurements to obtain displacements have to encounter with an integration error, which is not linearly accumulated during integration [1]
Summary
The vibration analysis is useful for the surveillance of a structure safety and structural health monitoring. Using direct numerical double-integration of acceleration measurements to obtain displacements have to encounter with an integration error, which is not linearly accumulated during integration [1]. The technique of real-time estimation of dynamic displacement based on measured velocity and displacement from two different sensors are described by Kim and Sohn [2]. They construct a state-space model for displacement and the total error. In this paper is described multi-rate Kalman filter with fixed interval smoother for a state-space model for displacement, velocity and the accelerometer error. A modelled signal consisting of two sinus functions and Gaussian distributed noise is used to validate developed algorithm
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
