The artificial neural network prediction algorithm research of rail-gun current and armature speed based on B-dot probes array-Reference-Cited by-同舟云学术

The artificial neural network prediction algorithm research of rail-gun current and armature speed based on B-dot probes array

Published:2019-02 Issue: Volume:133 Page:47-55
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Zhou Yu,Cao Ronggang^ORCID

Funder

National Natural Science Foundation of China

Beijing Institute of Special Electromechanical Technology

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference18 articles.

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2. Effect of armature initial velocity on the performance of railgun;Wang;High Voltage Eng.,2015

3. 3D modeling of sliding electrical contact;Hsieh;IEEE Trans. Magn.,1997

4. Numerical predictions of railgun performance including the effects of ablation and arc drag;Schnurr;IEEE Trans. Magn.,2003

5. Summarize and analysis of rail-gun's grooving phenomenon with large pulse current and high-velocity sliding electrical contact;Cao;Petrol. Explor. Dev.,2016

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