Unlock instant, AI-driven research and patent intelligence for your innovation.

Momentum Wheel Remaining Life Prediction Method Fused with Remaining Life Experience Data

A technology of empirical data and life prediction, applied in special data processing applications, geometric CAD, calculation, etc., can solve problems such as scarcity

Active Publication Date: 2020-10-27
NAT UNIV OF DEFENSE TECH
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the problem of predicting the remaining life of the momentum wheel based on the empirical data of the remaining life, the existing research is still relatively scarce, and there is no relevant public technology at present.

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
  • Momentum Wheel Remaining Life Prediction Method Fused with Remaining Life Experience Data
  • Momentum Wheel Remaining Life Prediction Method Fused with Remaining Life Experience Data
  • Momentum Wheel Remaining Life Prediction Method Fused with Remaining Life Experience Data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0055] This embodiment provides a method for predicting the remaining life of a momentum wheel by fusing empirical data of remaining life, including the following steps:

[0056] S1. Determine the empirical data type of the remaining life of the momentum wheel, and set the life distribution parameters of the momentum wheel m and lambda The pre-test distribution form, and then determine the pre-test distribution parameters based on the collected empirical data of the remaining life of the momentum wheel and its prior moments;

[0057] S1.1 The empirical data of the remaining life of the momentum wheel is that the momentum wheel is τ p Remaining Life Point Estimation at Moment L p or / and momentum wheel at confidence level gamma Confidence interval for remaining life under .

[0058] S1.2 Set the life distribution parameters of the momentum wheel m and lambda The prior distribution of is of the form

[0059]

[0060] in

[0061]

[0062]

[0063] the distri...

Embodiment 3

[0122] A computer device, comprising a memory and a processor, the memory stores a computer program, and when the processor executes the computer program, the method for predicting the remaining life of a momentum wheel that integrates empirical data of remaining life provided by the above-mentioned embodiment 1 is realized step.

Embodiment 4

[0124] The present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the method for predicting the remaining life of a momentum wheel provided by the above-mentioned embodiment 1 by integrating empirical data of remaining life are realized .

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 belongs to the field of remaining life prediction, and discloses a method for predicting the remaining life of a momentum wheel that integrates empirical data of the remaining life. Different forms of confidence intervals, deriving the prior moments of empirical data, further determining the parameters of the prior distribution by fitting the empirical data and their prior moments, and then collecting the life test data of the momentum wheel and giving the corresponding likelihood Finally, the remaining life of the momentum wheel after fusing empirical data is predicted by random sampling method. The invention well solves the problem of predicting the remaining life of the momentum wheel by fusing the empirical data of the remaining life of the momentum wheel, fills the gap in the existing research, and has clear steps, easy operation and application.

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 momentum wheel aimed at fusing empirical data of remaining life. Background technique [0002] Reliability refers to the ability of the product to complete the specified functions under specified conditions and within the specified time. It is an inherent attribute of the product and an important indicator to measure the quality of the product. Therefore, the reliability of the product is very important. Reliability evaluation is an important part of reliability research. The indicators for evaluating reliability include reliability, life, and remaining life. The remaining life represents the remaining normal working time of the product after the current moment. [0003] Momentum wheels are important components in space equipment such as satellites, and their reliability level is crucial to the reliability of the...

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 Patents(China)
IPC IPC(8): G06F30/17G06F119/04
CPCG06F30/17G06F2119/04
Inventor 贾祥程志君
Owner NAT UNIV OF DEFENSE TECH