Apply Kalman Filter to Data Processing in Similar Material Model

Juan Wang; Si Yu Lai

doi:10.4028/www.scientific.net/AMR.710.731

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 710Apply Kalman Filter to Data Processing in Similar...

Apply Kalman Filter to Data Processing in Similar Material Model

Abstract:

Comprehensive analysis about Kalman filter model of discrete linear system is discussed in this paper. Firstly, the model is established based on the data of similar material model acquired from industrial close-up photogrammetry system. Then, look for solutions by encoding in Matlab platform. Finally, we conclude that the Kalman filter enjoys obvious denoising effect in data processing of similar material model, and the subsidence curve reflects actual situation of the simulation better. Comparing with the Logistic function fitting, the simulated results show that the proposed filtering model is accurate and effective.

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Periodical:

Advanced Materials Research (Volume 710)

Pages:

731-734

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.710.731

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Online since:

June 2013

Authors:

Juan Wang, Si Yu Lai

Keywords:

Dynamic Subsidence, Industrial Photogrammetry, Kalman Filter (KF), Logistic Model, Similar Material Model

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