The Combinatorial Prediction about Chaotic Times Series of Natural Circulation Flow under Rolling Motion

Can Yuan; Qi Cai; Gang Liu; Feng Yan

doi:10.4028/www.scientific.net/AMR.989-994.1348

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 989-994The Combinatorial Prediction about Chaotic Times...

The Combinatorial Prediction about Chaotic Times Series of Natural Circulation Flow under Rolling Motion

Abstract:

The paper has established a combinatorial prediction model of chaotic time series based on history data and coupling data. Through the study of the flow characteristic about natural circulation under rolling motion, the single variable reconstruction and coupling multivariate reconstruction are discussed for chaotic time series based on phase space reconstruction technique, and the combinatorial prediction model has been built which bases on developing trend of history data and coupling relationship of correlative data. The paper also studied an example of coolant volume flow prediction with a relative precision of 0.9804 with the established model. The result indicated that the model with high precision and robustness could apply for natural circulation coolant volume flow prediction under rolling motion.

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Periodical:

Advanced Materials Research (Volumes 989-994)

Pages:

1348-1351

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.989-994.1348

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Online since:

July 2014

Authors:

Can Yuan*, Qi Cai, Gang Liu, Feng Yan

Keywords:

Chaotic Series, Coupling Multivariate, Natural Circulation (NC), Phase Space Reconstruction (PSR), Rolling Motion

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References

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