Perturbation principle-based fuzzy reliability analysis method

An analysis method and reliability technology, applied in the direction of reasoning methods, electrical digital data processing, special data processing applications, etc., can solve the problems of fuzzy and inappropriate reliability intervals, and achieve the effect of being convenient for engineering applications and narrow intervals

Active Publication Date: 2019-05-31
INNER MONGOLIA UNIV OF TECH
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Especially for the structure containing fuzzy random variables, when its function function and probability density function are nonlinear, the

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
  • Perturbation principle-based fuzzy reliability analysis method
  • Perturbation principle-based fuzzy reliability analysis method
  • Perturbation principle-based fuzzy reliability analysis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0027] In order to facilitate those skilled in the art to understand the technical content of the present invention, the content of the present invention will be further explained below in conjunction with the accompanying drawings.

[0028] The structural fuzzy reliability analysis method based on the perturbation principle of the present application uses perturbation theory and fuzzy decomposition theory to perform perturbation quantification on fuzzy random variables, and transforms the structural fuzzy reliability analysis problem into a structural non-probabilistic reliability analysis problem. Firstly, the fuzzy characteristic parameter of the structural fuzzy random variable is expressed as the sum of its true value and the fuzzy perturbation trace, and decomposed into interval quantities under a series of horizontal cut sets. Then, the fuzzy probability density function and fuzzy function function of the structure are decomposed into a series of interval quantities unde...

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 perturbation principle-based fuzzy reliability calculation method containing a fuzzy random variable, and is applied to the field of reliability. The objective of the invention is to solve the problem of structural function non-linear fuzzy random reliability. A perturbation theory and a fuzzy decomposition theory are used for carrying out perturbation quantization on fuzzy random variables, fuzzy characteristic parameters of the fuzzy random variables of the structure are expressed as the sum of true values and fuzzy perturbation microscale of the fuzzy characteristic parameters, the fuzzy characteristic parameters are decomposed into a series of interval quantities under horizontal truncation, the interval quantities are equivalent to random variables, and a mean value and a standard deviation are obtained through calculation. And meanwhile, equivalent selection is carried out on perturbation microscale. Secondly, decomposing the fuzzy probability density function and the fuzzy function function of the structure into interval quantities under a series of horizontal truncation sets, and performing Taylor series expansion on upper and lower limit values ofthe interval quantities to obtain perturbation values of the joint probability density function and the structure function; And finally, according to the definition of the structure reliability, introducing a sigmoid function as a step function by using a direct integration method, and solving to obtain a fuzzy reliability interval. Compared with a traditional convex set method, the reliability interval obtained through calculation is narrower under the same confidence level, and engineering application is more convenient.

Description

technical field [0001] The invention belongs to the field of reliability, in particular to a calculation method of structural reliability with fuzzy random variables. Background technique [0002] There are a lot of uncertainties in practical engineering problems, including random uncertainties and cognitive uncertainties. For structural analysis problems with fuzzy uncertainties, it is very difficult to describe them using conventional reliability theories and methods, and even improper use of conventional reliability analysis methods may cause the calculated results to be completely inconsistent with the actual situation The situation 0 appears. Therefore, it has certain practical significance to study the fuzzy reliability of structures by applying fuzzy reliability analysis theory and method. Especially for the structure containing fuzzy random variables, when its function function and probability density function are nonlinear, the convex set method usually used in fu...

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): G06F17/50G06N5/04
Inventor 聂晓波李海滨
Owner INNER MONGOLIA UNIV OF TECH
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