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The application of quantum hypersphere neural network in vibration fault detection(PDF)

《火箭推进》[ISSN:1672-9374/CN:CN 61-1436/V]

Issue:
2008年05期
Page:
43-48
Research Field:
测控与试验
Publishing date:

Info

Title:
The application of quantum hypersphere neural network in vibration fault detection
Author(s):
Fan Zhongze1;  Huang Minchao2
1 lnst．of Electric and Information Engineering，Xi'an Jiaotong Univ．，Xi'an 710049，China； 2 Inst．of Aerospace and Material Engineering，National Univ．of Defense Technology，Changsha 410073，China
Keywords:
quantum hypersphere neural network; liquid propellant rocket engine; vibration f-auh-deteetinn
PACS:
V434
DOI:
-
Abstract:
The vibration fault detection approach for liquid propellant rocket engine is proposed based on quantum hypersphere neural network．The variable quantum hypersphere is used to mark work mode of engine，which provides probability amplitude that reflects the fault level．The off-line learning algorithm can extract engine vibration knowledge from training samples automatically．The monitor algorithm Call forecast fault correctly，also learn new vibration information online．The analysis result of test data shows that quantum hypersphere neural network call be applied to vibration fault detection of liquid propellant rocket engine．

References:

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Memo

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Last Update: 1900-01-01