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Residual life prediction method for satellite momentum wheel voting system under known failure information

A technology of satellite momentum wheel and voting system, which is applied in the field of remaining life prediction of satellite momentum wheel voting system, and can solve problems such as lack of remaining life prediction technology

Active Publication Date: 2021-03-19
NAT UNIV OF DEFENSE TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In view of the lack of remaining life prediction technology when the failure information of the satellite momentum wheel voting system is known in the prior art, the present invention provides a method for predicting the remaining life of the satellite momentum wheel voting system with known failure information

Method used

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  • Residual life prediction method for satellite momentum wheel voting system under known failure information
  • Residual life prediction method for satellite momentum wheel voting system under known failure information
  • Residual life prediction method for satellite momentum wheel voting system under known failure information

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Embodiment 1

[0029] A method for predicting the remaining life of a satellite momentum wheel voting system with known failure information, the satellite momentum wheel voting system is an r / n(G) system, the satellite momentum wheel voting system is composed of n satellite momentum wheels, and there are at least r satellites The normal operation of the momentum wheel can ensure the normal operation of the satellite momentum wheel voting system, and the number of failed satellite momentum wheels is n f , the satellite momentum wheel voting system has been working for τ, at this time, predicting the remaining life of the satellite momentum wheel voting system in which the satellite momentum wheel obeys the exponential-Weibull distribution includes the following steps: Step S1, determine the satellites in the satellite momentum wheel voting system The failure distribution function when the life of the momentum wheel obeys the exponential-Weibull distribution;

[0030] The failure distribution ...

Embodiment 2

[0055] Based on the satellite momentum wheel voting system remaining life prediction method under the known failure information given in embodiment 1, a specific application example of the present invention is provided below. In the present embodiment, the satellite momentum wheel voting system is 3 / 4( G) System, ie n=4, r=3. This example aims at the satellite momentum wheel 3 / 4 (G) system, given the exponential-Weibull life distribution parameter values ​​when the satellite momentum wheel life obeys the exponential-Weibull distribution, where α=1.5, β=3, η=100. Assume that the satellite momentum wheel voting system has been running for τ, the unit is month, and the failure information at this time is that the system has no failure momentum wheel. At the same time, the working time data τ of the momentum wheel voting system of five groups of satellites was obtained 1 = 72 months, τ 2 = 75 months, τ 3 = 79 months, τ 4 =84 months, τ 5=88 months. According to the formula (9...

Embodiment 3

[0057] Based on the known satellite momentum wheel voting system remaining life prediction method under the failure information given in embodiment 1, a specific application example of the present invention is provided below. In the present embodiment, the satellite momentum wheel voting system is 3 / 5( G) System, namely n=5, r=3, given the exponential-Weibull life distribution parameter values ​​when the satellite momentum wheel life obeys the exponential-Weibull distribution, wherein α=1.5, β=3, η=100. Assume that the satellite momentum wheel voting system has been running for τ, the unit is month, and the failure information at this time is that the number of momentum wheels that the system fails is 2. At the same time, the working time data τ of the momentum wheel voting system of five groups of satellites was obtained 1 = 155 months, τ 2 = 160 months, τ 3 = 166 months, τ 4 = 170 months, τ 5 = 176 months. According to formula (9), the remaining lifetimes of the momentu...

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Abstract

The invention provides a residual life prediction method for satellite momentum wheel voting system under known failure information, and the method comprises the steps: enabling the life of a satellite momentum wheel in the satellite momentum wheel voting system to comply with the index Weibull distribution, and obtaining the failure information of the satellite momentum wheel voting system; solving the probability that the satellite momentum wheel voting system fails m satellite momentum wheels and the reliability of the satellite momentum wheel voting system at the moment; and then solving residual life point estimation when the satellite momentum wheel voting system fails m satellite momentum wheels, and taking the residual life point estimation as a prediction result of the residual life of the momentum wheel voting system. Through the steps, the problem of predicting the residual life of the voting system when the life of the momentum wheel complies with the index Weibull distribution is well solved, and the method is simple in step, clear in result and easy to operate.

Description

technical field [0001] The invention belongs to the field of remaining life prediction, and in particular relates to a method for predicting the remaining life of a satellite momentum wheel voting system under known failure information. Background technique [0002] Reliability is an inherent attribute of a product and an important indicator to measure product quality. Therefore, product reliability is very important. Reliability evaluation is an important content of reliability research. Product reliability, life and remaining life are the most important A wide range of three reliability evaluation indicators, in which the remaining life of the product refers to the length of time between the current working moment and its failure moment. In reliability engineering, it is of great significance to accurately predict the remaining life of products. [0003] It is very important to improve the reliability of products, and redundant technology is often used in engineering to i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06Q10/04G06F119/02G06F119/04
CPCG06Q10/04G06F30/20G06F2119/02G06F2119/04
Inventor 贾祥刘鸿彬李博文程志君郭波
Owner NAT UNIV OF DEFENSE TECH
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