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

Method for predicting remaining life of equipment under competing failure conditions

A technology for competitive failure and life prediction, used in special data processing applications, instruments, electrical digital data processing, etc.

Inactive Publication Date: 2014-03-26
PLA SECOND ARTILLERY ENGINEERING UNIVERSITY
View PDF1 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0013] In view of the above-mentioned state of the art, the purpose of the present invention is to provide a method to make full use of the performance degradation data measured during the performance degradation process of the equipment to scientifically predict the remaining life of the individual high-reliability equipment, so as to solve the problem of equipment failure under the condition of competing failures. Remaining Life Prediction Problem

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
  • Method for predicting remaining life of equipment under competing failure conditions
  • Method for predicting remaining life of equipment under competing failure conditions
  • Method for predicting remaining life of equipment under competing failure conditions

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0058] The method for predicting the remaining service life of equipment under the condition of competing failures in the present invention is described by taking a computer simulation example as an example.

[0059] Before applying the method of the present invention, at first a group of performance degradation simulation data will be generated, assuming that the system performance state monitoring quantity is θ, and its degradation function is as follows:

[0060] θ(k+1)=a 0 +a(k) t+v(k+1) (14)

[0061] Among them, θ(k+1) is the monitoring value at the k+1th moment, a 0 is a constant term, a(k) is the primary item of the degradation model after the kth test, t is the total historical running time of the kth test, v(k+1) is the noise of the kth test, obeying Gaussian distributed. Order: a 0 = 5,

[0062] a(k)=0.2, test interval time Δt=2, v(k+1) obeys (0, 0.1) distribution. Assume that the failure threshold ξ of θ = 30, and the failure rate λ = 0.36. The remaining life...

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 method for predicting the remaining life of high-reliability equipment under competing failure conditions. The fault mode causing failure of the equipment is considered as a combination of two modes including the slow variation fault mode described with a Wiener model with drift and the abrupt fault mode described with the Poisson process. Supposing that the two fault modes are independent of each other, and the remaining life of the equipment can be acquired after the remaining lives of the equipment in the two fault modes are acquired respectively. The method specifically includes the steps of constructing a dynamic performance degradation database, establishing an equipment performance degradation model under the competing failure conditions, estimating model parameters and predicting the remaining life. With the method for predicting the remaining life of the equipment, the individual life characteristic quantities of the equipment can be predicted and analyzed, power theoretical bases and technological support are provided for the maintenance guarantee of the equipment, and the method has very good engineering application prospects.

Description

technical field [0001] The invention belongs to the technical field of reliability engineering, and its main content is a method for predicting the remaining life of high-reliability equipment under the condition of competing failures. Background technique [0002] The service life of the equipment usually refers to the service life of the equipment. According to the definition of GJB451A-2005, the service life is "the number of service life units when the equipment is no longer suitable for technical or economic considerations and must be overhauled or scrapped." More specifically, the (possible) useful life of a device is the number of units of life from the time the device is manufactured to the point where a failure that cannot be repaired (or not worth repairing) or an unacceptable failure rate occurs. The remaining life (remaining life: RL) generally refers to the remaining useful life (remaining useful life: RUL), and is also called the remaining service life (remaini...

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): G06F19/00
Inventor 胡昌华周志杰樊红东陈业
Owner PLA SECOND ARTILLERY ENGINEERING UNIVERSITY
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