Remaining Lifetime Prediction Method of Satellite Momentum Wheel Voting System with Known Failure Information

A satellite momentum wheel and voting system technology, which is applied in the field of remaining life prediction of the satellite momentum wheel voting system, can solve problems such as the lack of remaining life prediction technology, and achieve the effect of accurate remaining life prediction, easy operation, and simple steps

Active Publication Date: 2021-09-24
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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  • Remaining Lifetime Prediction Method of Satellite Momentum Wheel Voting System with Known Failure Information
  • Remaining Lifetime Prediction Method of Satellite Momentum Wheel Voting System with Known Failure Information
  • Remaining Lifetime Prediction Method of Satellite Momentum Wheel Voting System with 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 present invention provides a method for predicting the remaining life of a satellite momentum wheel voting system with known failure information. The satellite momentum wheel life in the satellite momentum wheel voting system obeys the exponential-Weibull distribution. After obtaining the failure information of the satellite momentum wheel voting system , solve the probability of the failure of m satellite momentum wheels in the satellite momentum wheel voting system and the reliability of the satellite momentum wheel voting system at this time; then solve the remaining life point estimation when the satellite momentum wheel voting system fails m satellite momentum wheels, and use it as Momentum wheel voting predicts the remaining lifetime of the system. Through the above steps, the present invention well solves the remaining life prediction problem of the voting system when the life of the momentum wheel obeys the exponential-Weibull distribution, and has simple steps, clear results and easy operation.

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 Patents(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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