Research of Deformation Prediction Method on Large-sized Structure Component Based on Time Series Analysis

DOI

10.2991/mmebc-16.2016.357How to use a DOI?

Keywords

Large-sized structure, Time series model, Radial-Basis Function (RBF) neural network, Short-term deformation forecasting.

Abstract

Large-sized flexible structure is widely used in industrial production areas, such as aircrafts, automobiles, ships and so on. There will be dynamic deformation in working process which will affect the normal use of structure carrier. In addition, current deformation measurement methods have certain hysteresis, so the research on deformation prediction method must be carried out to forecast deformation trend. Firstly deformation mathematical model of large-sized structure based on mechanism is analyzed. Secondly the deformation trend time series model of large-sized structure is researched. Then the Radial-Basis Function (RBF) neural network is used to complete modeling and training process, to realize short-term deformation forecasting of large-sized structure. The simulation result show that the prediction error is limited within the range of

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Ya-Jing Guo
AU  - Xiao-Rong Zhu
AU  - Er-Bao Lu
AU  - Xu-Liang Liu
AU  - Cheng-Han He
PY  - 2016/06
DA  - 2016/06
TI  - Research of Deformation Prediction Method on Large-sized Structure Component Based on Time Series Analysis
BT  - Proceedings of the 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer
PB  - Atlantis Press
SP  - 1758
EP  - 1762
SN  - 2352-5401
UR  - https://doi.org/10.2991/mmebc-16.2016.357
DO  - 10.2991/mmebc-16.2016.357
ID  - Guo2016/06
ER  -