Paper Title:
Deformation Prediction Based on Time Series Analysis and Grey System Theory
  Abstract

For the long-term monitoring of structure, the deformation trend changes periodically and is hard to extract. A small amount of recent data can be selected to avoid such problem. The study refers to the idea of grey system theory and provides an improved way of deformation prediction in time series analysis with a small amount of data. By cumulating the original data, the trend item is made clear and the rule of data becomes obvious. The prediction results show that the way provided by this article gives a more accurate prediction in the short term. When the prediction results have a large deviation with actual deformation, it can be believed that the trend has changed and the monitored structure may be affected.

  Info
Periodical
Advanced Materials Research (Volumes 368-373)
Chapter
Chapter 5: Monitoring, Evaluation and Reinforcement Technique of Civil Engineering
Edited by
Qing Yang, Li Hua Zhu, Jing Jing He, Zeng Feng Yan and Rui Ren
Pages
2147-2152
DOI
10.4028/www.scientific.net/AMR.368-373.2147
Citation
D. L. Qiao, M. Zhao, "Deformation Prediction Based on Time Series Analysis and Grey System Theory", Advanced Materials Research, Vols. 368-373, pp. 2147-2152, 2012
Online since
October 2011
Export
Price
$32.00
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