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

Parameter estimation method of Wiener process based on performance degradation data and life data fusion

A technology of degraded data and life data, which is applied in the direction of electrical digital data processing, special data processing applications, calculations, etc., and can solve problems such as complex mathematical operations and inconvenient engineering practice

Active Publication Date: 2018-12-28
NAT UNIV OF DEFENSE TECH
View PDF5 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, these parameter estimation methods involve complex mathematical operations, which are not convenient for engineering practice.

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
  • Parameter estimation method of Wiener process based on performance degradation data and life data fusion
  • Parameter estimation method of Wiener process based on performance degradation data and life data fusion
  • Parameter estimation method of Wiener process based on performance degradation data and life data fusion

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] The present invention will be described in further detail below in conjunction with examples and accompanying drawings.

[0040] This example discloses a Wiener process parameter estimation method based on the fusion of performance degradation data and life data. In this example, it is assumed that there are 6 samples, and the performance degradation of each sample obeys the parameter and The Wiener process. Based on the Wiener process, 6 groups of random numbers are generated, each group has 10001 values, which are used as the performance measurement values ​​of 6 samples, such as figure 2 shown. In addition, based on the inverse Gaussian distribution corresponding to the Wiener process, 6 random numbers are generated as the life data of 6 samples, which are 1.4257, 1.5118, 1.5365, 1.5641, 2.2672 and 2.4917. Concrete algorithm of the present invention is as follows:

[0041] First, according to the maximum likelihood method, based on figure 2 The performance ...

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 technical field of reliability statistics, and discloses a Wiener process parameter estimation method based on performance degradation data and life data fusion. First, the initial value of Wiener process parameters is obtained by maximum likelihood method based on performance degradation data. Then, the failure probability of life data is estimated by using the initial value. Finally, the life distribution parameters of life data and failure probability are fitted and transformed into the final value of Wiener process parameters. The invention solves the parameterestimation problem of the Wiener process based on the fusion of the performance degradation data and the life data through the steps. Compared with the existing method, the algorithm calculation process proposed by the invention is simple and effective. As will be seen from the follow detailed embodiment, the algorithm proposed by the invention has high computational accuracy.

Description

technical field [0001] The invention mainly relates to the field of reliability statistics, in particular to a Wiener process parameter estimation method based on the fusion of performance degradation data and life data. Background technique [0002] In reliability engineering, the reliability assessment method based on life data is a traditional technique. This method mainly uses the theory of mathematical statistics, adopts a specific life distribution, and evaluates the reliability of the product by analyzing the life data of the product. However, with the advancement of science and technology, the improvement of manufacturing technology, and the increasing reliability of products, it has become difficult to collect a large amount of life data, making the traditional reliability assessment method based on life data difficult to apply. [0003] For this reason, reliability assessment methods based on performance degradation data have been widely developed. This method ma...

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 Applications(China)
IPC IPC(8): G06F17/50G06F17/18
CPCG06F17/18G06F30/20G06F2119/04
Inventor 贾祥程志君郭波
Owner NAT UNIV OF DEFENSE TECH
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