Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Spare part reliability Bayesian evaluation method and system based on multi-source fusion

A technology of reliability and spare parts, which is applied in the field of Bayesian evaluation of spare parts reliability based on multi-source fusion, can solve the problems of increased number of guarantee failures, differences between reliability rules and design parameters, backlog of spare parts, etc., and achieve the goal of reducing human factors Influence, improvement of estimation accuracy, effect of good estimation accuracy

Active Publication Date: 2019-11-05
NAVAL UNIV OF ENG PLA
View PDF7 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] When the actual reliability rules of spare parts are inconsistent with the design parameters, it will lead to an increase in the number of support failures or a backlog of spare parts
In special working environments, such as marine working environments such as ships, the difference between the actual reliability law and the design parameters will be greater

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
  • Spare part reliability Bayesian evaluation method and system based on multi-source fusion
  • Spare part reliability Bayesian evaluation method and system based on multi-source fusion
  • Spare part reliability Bayesian evaluation method and system based on multi-source fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Embodiment 1 provided by the present invention is an embodiment of a Bayesian evaluation method for spare parts reliability based on multi-source fusion provided by the present invention, such as figure 1 As shown, a Bayesian evaluation method for spare parts reliability based on multi-source fusion provided by the embodiment of the present invention includes:

[0068] Step 1. Determine the likelihood weight coefficient of the prior distribution of one information source of the spare part and the prior distribution of each other information source, where the likelihood weight coefficient is the ratio of the likelihood functions of the prior distribution of the two information sources.

[0069] The spare parts are non-repairable parts during the execution of the mission, and their lifespan obeys the exponential distribution, and the probability density function is:

[0070] f(t)=λexp(-λt)

[0071] Among them, t is time, λ is an unknown parameter representing the failure...

Embodiment 2

[0141] Embodiment 2 provided by the present invention is an embodiment of a Bayesian evaluation system for spare parts reliability based on multi-source fusion provided by the present invention, such as figure 2 As shown, in this embodiment, the system includes: a likelihood weight coefficient determination module 1, a priori distribution determination module 2 of the failure rate of spare parts, and a Bayesian evaluation module 3 of spare parts reliability;

[0142] Likelihood weight coefficient determination module 1, used to determine the likelihood weight coefficient of the prior distribution of one information source and the prior distribution of other information sources for the reliability of spare parts, the likelihood weight coefficient is the prior distribution of the two information sources The ratio of the likelihood function of ;

[0143] The prior distribution determination module 2 of the spare parts failure rate is used to obtain the prior distribution of the ...

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 spare part reliability Bayesian evaluation method and a system based on multi-source fusion, and the method comprises the steps: determining the likelihood weight coefficient of the prior distribution of one information source of spare part reliability and the prior distribution of other information sources, and the likelihood weight coefficient is the ratio of likelihood functions of the prior distribution of two information sources; fusing each information source according to each likelihood weight coefficient to obtain prior distribution of the spare part failurerate; determining a likelihood function corresponding to the guarantee task result; determining posteriori distribution of the spare part failure rate according to the likelihood function corresponding to the guarantee task result and prior distribution of the spare part failure rate; obtaining a spare part reliability Bayesian evaluation result; aiming at the characteristic of less spare part field use data, the credibility of the reliability information of different sources is quantified by adopting the likelihood weight coefficient, so that the influence of human factors can be reduced, thereliability evaluation is carried out after the reliability information sources of each spare part are effectively and reasonably fused, and the estimation precision is relatively good.

Description

technical field [0001] The invention relates to the field of reliability prediction of spare parts, in particular to a Bayesian evaluation method and system for reliability of spare parts based on multi-source fusion. Background technique [0002] When the actual reliability rules of spare parts are inconsistent with the design parameters, it will lead to an increase in the number of support failures or a backlog of spare parts. In special working environments, such as marine working environments such as ships, the difference between the actual reliability law and the design parameters will be greater. [0003] There are many sources of information in the spare parts reliability assessment method, and the effectiveness of different information sources for spare parts reliability assessment is different under different circumstances. Reasonable integration of various information sources can improve the accuracy of spare parts reliability assessment results. Contents 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
IPC IPC(8): G06K9/62
CPCG06F18/24155G06F18/25
Inventor 邵松世刘海涛张志华
Owner NAVAL UNIV OF ENG PLA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com