On-Line Interpretation and Real-Time Diagnosis of Rocket’s Single Equipment

The work state of a launch vehicle is generally interpreted automatically on software. However, the sheer number of target parameters makes it difficult to realize real-time interpretation, and abnormal interpretation result does not necessarily mean that the vehicle is in abnormal state. This paper...

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Main Authors: Erbao Xu, Yan Li, Lining Peng, Yuxi Li, Mingshun Yang
Format: Article
Language:English
Published: Hindawi Limited 2021-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2021/6671403
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spelling doaj-a019bf6f59024c8b98c1a7421b18b6e22021-03-22T00:04:11ZengHindawi LimitedMathematical Problems in Engineering1563-51472021-01-01202110.1155/2021/6671403On-Line Interpretation and Real-Time Diagnosis of Rocket’s Single EquipmentErbao Xu0Yan Li1Lining Peng2Yuxi Li3Mingshun Yang4School of Mechanical and Precision Instrument EngineeringSchool of Mechanical and Precision Instrument EngineeringSchool of Mechanical and Precision Instrument EngineeringXi’an Modern Control Technology Research InstituteSchool of Mechanical and Precision Instrument EngineeringThe work state of a launch vehicle is generally interpreted automatically on software. However, the sheer number of target parameters makes it difficult to realize real-time interpretation, and abnormal interpretation result does not necessarily mean that the vehicle is in abnormal state. This paper introduces the edge computing to achieve on-line interpretation and real-time diagnosis of a single launch vehicle. Firstly, the parameters to be interpreted were subjected to thresholding, leaving only those with high interpretation value. Next, the interpretation server layer of the real-time diagnosis model was built based on the attribute and value reduction algorithm of variable precision rough set (VPRS). Moreover, the higher-grade criteria were written in criterion modeling language (CML) and used to interpret the various higher-grade interpretation data pushed by the edge layer in real time. On this basis, the outputs of the edge layer and interpretation server layer were integrated to achieve the real-time diagnosis of single vehicle faults. Finally, the proposed model was proved feasible through the application in a launch vehicle.http://dx.doi.org/10.1155/2021/6671403
collection DOAJ
language English
format Article
sources DOAJ
author Erbao Xu
Yan Li
Lining Peng
Yuxi Li
Mingshun Yang
spellingShingle Erbao Xu
Yan Li
Lining Peng
Yuxi Li
Mingshun Yang
On-Line Interpretation and Real-Time Diagnosis of Rocket’s Single Equipment
Mathematical Problems in Engineering
author_facet Erbao Xu
Yan Li
Lining Peng
Yuxi Li
Mingshun Yang
author_sort Erbao Xu
title On-Line Interpretation and Real-Time Diagnosis of Rocket’s Single Equipment
title_short On-Line Interpretation and Real-Time Diagnosis of Rocket’s Single Equipment
title_full On-Line Interpretation and Real-Time Diagnosis of Rocket’s Single Equipment
title_fullStr On-Line Interpretation and Real-Time Diagnosis of Rocket’s Single Equipment
title_full_unstemmed On-Line Interpretation and Real-Time Diagnosis of Rocket’s Single Equipment
title_sort on-line interpretation and real-time diagnosis of rocket’s single equipment
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1563-5147
publishDate 2021-01-01
description The work state of a launch vehicle is generally interpreted automatically on software. However, the sheer number of target parameters makes it difficult to realize real-time interpretation, and abnormal interpretation result does not necessarily mean that the vehicle is in abnormal state. This paper introduces the edge computing to achieve on-line interpretation and real-time diagnosis of a single launch vehicle. Firstly, the parameters to be interpreted were subjected to thresholding, leaving only those with high interpretation value. Next, the interpretation server layer of the real-time diagnosis model was built based on the attribute and value reduction algorithm of variable precision rough set (VPRS). Moreover, the higher-grade criteria were written in criterion modeling language (CML) and used to interpret the various higher-grade interpretation data pushed by the edge layer in real time. On this basis, the outputs of the edge layer and interpretation server layer were integrated to achieve the real-time diagnosis of single vehicle faults. Finally, the proposed model was proved feasible through the application in a launch vehicle.
url http://dx.doi.org/10.1155/2021/6671403
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AT liningpeng onlineinterpretationandrealtimediagnosisofrocketssingleequipment
AT yuxili onlineinterpretationandrealtimediagnosisofrocketssingleequipment
AT mingshunyang onlineinterpretationandrealtimediagnosisofrocketssingleequipment
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