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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Hindawi Limited
2021-01-01
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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2021/6671403 |
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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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