Reliability prediction method under maintenance support of manned spacecraft

A manned spacecraft, reliability technology, applied in the direction of instrumentation, design optimization/simulation, special data processing applications, etc., can solve problems such as availability allocation difficulties, complex calculations, increased work difficulty, etc., to achieve good engineering implementability , easy to decompose, and the overall simple effect of the method

Pending Publication Date: 2021-04-23
BEIJING INST OF SPACECRAFT SYST ENG
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 1. For all spacecraft models before the space station, the reliability quantitative indicators are required to be mission reliability. The supporting design unit has accumulated experience in reliability modeling, distribution and prediction, and has a working basis. If the availability is used To design indicators, a set of methods needs to be implemented, which increases the difficulty of work
[0006] 2. Availability modeling is complex and cannot be passed on step by step as a design indicator
Availability modeling needs to adopt Markov process method, the calculation is complicated, it is difficult to use it as a design index, and it is transferred from the system to the subsystem and stand-alone equipment
[0007] 3. Difficulty in availability allocation
However, many current reliability prediction methods do not take into account the impact of maintenance on spacecraft reliability, so they cannot accurately reflect the reliability level that can be achieved by the design scheme.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Reliability prediction method under maintenance support of manned spacecraft

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] In order to more clearly describe the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings that are used in the embodiments. Apparently, the drawings in the following description are only some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to these drawings without creative efforts.

[0038] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments, and the embodiments cannot be repeated here one by one, but the embodiments of the present invention are not therefore limited to the following embodiments.

[0039] see figure 1 , the reliability prediction method under the support of manned spacecraft maintenance of the present invention, firstly carry out the scheme design to the manned spacecraft components. Specifically, component scheme design is carried out acco...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a reliability prediction method under maintenance support of a manned spacecraft. The reliability prediction method comprises the following steps of S1, performing scheme design on components of the manned spacecraft; s2, defining components of the manned spacecraft; s3, establishing a reliability block diagram; s4, establishing a reliability mathematical model; s5, collecting failure rate data of the manned spacecraft component; s6, performing life analysis on the manned spacecraft component, and determining a maintenance period; s7, determining the working time of the manned spacecraft component in the maintenance period; and S8, calculating and obtaing a reliability predicted value. Recovery and maintenance effects of maintenance on the reliability of the system in the long service life period are considered, and the method is effective in engineering and easy to implement.

Description

technical field [0001] The invention relates to a reliability prediction method supported by manned spacecraft maintenance. Background technique [0002] The life and reliability requirements of manned spacecraft are getting higher and higher. Space stations are typical of long-term flight manned spacecraft. With maintenance support during the year, the mission reliability is not less than 0.97. During long-term operation, various failures may occur, seriously affecting task completion and system security. On-orbit maintenance is an effective means to prevent and eliminate failures and ensure the long life and high reliability of manned spacecraft. For example, the original design life of the Mir space station is 5 years, but the actual life is extended to 15 years through on-orbit maintenance support (according to statistics, 75% of the working time of the astronauts on the station is used for on-orbit maintenance) and maintenance resource guarantee; the International Spa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/15G06F30/20G06F119/02G06F111/08
CPCG06F30/15G06F30/20G06F2111/08G06F2119/02
Inventor 夏侨丽杨宏周昊澄罗皓陈伯翰于文泽李涛吴冰李志海刁常堃种婧宜
Owner BEIJING INST OF SPACECRAFT SYST ENG
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products