Bayesian appraisal method of accelerated degradation test based on drift Brownian motion model

An accelerated degradation test and Brownian drift technology, which is applied in special data processing applications, instruments, electrical digital data processing, etc., to achieve the effects of improving evaluation accuracy, optimizing test design, and avoiding the influence of errors

Inactive Publication Date: 2012-12-19
BEIHANG UNIV
View PDF1 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no accelerated degradation test evaluation method that can realize this idea.

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
  • Bayesian appraisal method of accelerated degradation test based on drift Brownian motion model
  • Bayesian appraisal method of accelerated degradation test based on drift Brownian motion model
  • Bayesian appraisal method of accelerated degradation test based on drift Brownian motion model

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0105] If a product is subjected to a temperature step stress accelerated degradation test, the sample size is 4, the temperature stress level is 4, and the temperatures are 60°C, 80°C, 100°C, 120°C; the test time for each stress level is 250, 150, 100, 100 hours; the product performance testing time interval Δt is 5 hours.

[0106] Step 1. Establish and determine relevant models

[0107] Since the stress applied to the product is temperature, the Arrhenius model is selected as the acceleration model, namely:

[0108] d(T)=exp[A+B / T)] (34)

[0109] where T is the temperature. The degradation model is (1). The Bayesian population distribution and its data form are (3). The reliability model is (4), where the initial value of the performance parameter y 0 is 100, and the parameter failure threshold l is 40.

[0110] Step 2. Determine the initial value of the acceleration model parameters

[0111] From the degradation incremental data ΔY at 60°C, 80°C, 100°C, and 120°C 60...

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 discloses a Bayesian appraisal method of an accelerated degradation test based on a drift Brownian motion model, belonging to the technical filed of life and reliability assessment. The method comprises the following specific steps: 1, creating and determining a relevant model; 2, determining the initial value of acceleration model parameters; 3, building the prior distribution and posterior distribution of the model parameters under various stress levels; 4, fitting the final value of the acceleration model parameters; and 5, appraising product life and reliability. In the invention, the appraisal precision of the acceleration model parameters is improved through determining the initial value of the acceleration model parameters, fitting the final value thereof and other steps, thereby improving the appraisal precision of product life and reliability. Through the method, the following stress level test and appraisal can be guided through existing stress level test information and results, thus optimized test design can be carried out on various stress levels by stages through combing the method with corresponding test optimizing methods.

Description

technical field [0001] The invention relates to an accelerated degradation test evaluation method based on a drift Brownian motion model and a Bayesian theory for degradation data, and belongs to the technical field of life and reliability evaluation. Background technique [0002] Usually, when evaluating the life and reliability of a product, the life data of the product is obtained through an accelerated life test, and the obtained life data is used to evaluate it. However, with the development of science and technology, long-life and high-reliability products are gradually becoming the mainstream today, so the characteristics of the evaluation objects are also changing towards long-life and high reliability. Due to the long life and high reliability of the product, when evaluating its life and reliability through tests, it is becoming more and more difficult to obtain life data, which has caused certain difficulties in the evaluation. Aiming at this difficulty, the accel...

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): G06F19/00
Inventor 王立志李晓阳姜同敏葛蒸蒸
Owner BEIHANG UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap