Cloud neural network based fault detection and diagnosis of space propulsion system

Zong Ben Xu; Zhong Ze Fan

Cloud neural network based fault detection and diagnosis of space propulsion system

Zong Ben Xu
, Zhong Ze Fan

School of Mathematics and Statistics

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

An approach of cloud neural network was proposed and used for fault detection and diagnosis of the space propulsion system. A physical propulsion system of space vehicle was used to validate the approach. The simulated result demonstrates that the new approach can provide a real-time description for work state of the propulsion system with higher identify precision and makes fault detection decision in time.

Original language	English
Pages (from-to)	727-732
Number of pages	6
Journal	Binggong Xuebao/Acta Armamentarii
Volume	30
Issue number	6
State	Published - Jun 2009

Keywords

Cloud model
Fault detection and diagnosis
Fault simulation
Neural network
Propulsion system of aviation and aerospace
Space propulsion system

Cite this

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title = "Cloud neural network based fault detection and diagnosis of space propulsion system",

abstract = "An approach of cloud neural network was proposed and used for fault detection and diagnosis of the space propulsion system. A physical propulsion system of space vehicle was used to validate the approach. The simulated result demonstrates that the new approach can provide a real-time description for work state of the propulsion system with higher identify precision and makes fault detection decision in time.",

keywords = "Cloud model, Fault detection and diagnosis, Fault simulation, Neural network, Propulsion system of aviation and aerospace, Space propulsion system",

author = "Xu, \{Zong Ben\} and Fan, \{Zhong Ze\}",

year = "2009",

month = jun,

language = "英语",

volume = "30",

pages = "727--732",

journal = "Binggong Xuebao/Acta Armamentarii",

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publisher = "China Ordnance Industry Corporation",

number = "6",

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T1 - Cloud neural network based fault detection and diagnosis of space propulsion system

AU - Xu, Zong Ben

AU - Fan, Zhong Ze

PY - 2009/6

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N2 - An approach of cloud neural network was proposed and used for fault detection and diagnosis of the space propulsion system. A physical propulsion system of space vehicle was used to validate the approach. The simulated result demonstrates that the new approach can provide a real-time description for work state of the propulsion system with higher identify precision and makes fault detection decision in time.

AB - An approach of cloud neural network was proposed and used for fault detection and diagnosis of the space propulsion system. A physical propulsion system of space vehicle was used to validate the approach. The simulated result demonstrates that the new approach can provide a real-time description for work state of the propulsion system with higher identify precision and makes fault detection decision in time.

KW - Cloud model

KW - Fault detection and diagnosis

KW - Fault simulation

KW - Neural network

KW - Propulsion system of aviation and aerospace

KW - Space propulsion system

UR - https://www.scopus.com/pages/publications/67651014538

M3 - 文章

AN - SCOPUS:67651014538

SN - 1000-1093

VL - 30

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EP - 732

JO - Binggong Xuebao/Acta Armamentarii

JF - Binggong Xuebao/Acta Armamentarii

IS - 6

ER -

Cloud neural network based fault detection and diagnosis of space propulsion system

Abstract

Keywords

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