Intelligent Identification of Flow Regime Based on a Novel Neural Network

Qiang Wang

doi:10.4028/www.scientific.net/AMM.635-637.1715

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 635-637Intelligent Identification of Flow Regime Based on...

Intelligent Identification of Flow Regime Based on a Novel Neural Network

Abstract:

A noveol neural network of Elman is typically dynamic recurrent neural network. A novel method of flow regime identification based on Elman neural network and wavelet packet decomposition is proposed in this paper. Above all, the collected pressure-difference fluctuation signals are decomposed by the four-layer wavelet packet, and the decomposed signals in various frequency bands are obtained within the frequency domain. Then the wavelet packet energy eigenvectors of flow regimes are established. At last the wavelet packet energy eigenvectors are input into Elman neural network and flow regime intelligent identification can be performed.

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Periodical:

Applied Mechanics and Materials (Volumes 635-637)

Pages:

1715-1718

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.635-637.1715

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Online since:

September 2014

Authors:

Qiang Wang

Keywords:

Elman Neural Network (ENN), Flow Regime Identification, Wavelet Packet Decomposition

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