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

Method for assessing reliability of main shaft of kilometer deep shaft hoist by considering multiple failure modes

A hoist and reliability technology, which is applied in the field of system reliability evaluation of mechanical products, can solve problems such as difficulty in obtaining failure data and reliability information, and achieve the goals of reducing the number of test designs, accurate and reasonable system reliability, and improving precision Effect

Active Publication Date: 2017-10-24
CHINA UNIV OF MINING & TECH
View PDF3 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the homology of the excitation and the identity of the characteristic parameters of the characterization system, there is a common correlation between the faults of the main shaft of the hoist. Neglecting this feature will make it difficult to obtain accurate failure data and reliability information.

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 assessing reliability of main shaft of kilometer deep shaft hoist by considering multiple failure modes
  • Method for assessing reliability of main shaft of kilometer deep shaft hoist by considering multiple failure modes
  • Method for assessing reliability of main shaft of kilometer deep shaft hoist by considering multiple failure modes

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] Such as figure 1 As shown, the system reliability assessment method considering multiple failure modes proposed by the present invention includes the following steps:

[0044] Step 1. Obtain the mean value and variance of dimensional parameters, material properties and working condition load through on-site surveying and mapping and the design drawings of the main shaft of the hoist, and determine the distribution type of each parameter;

[0045] Step 2. According to the structural parameters of the main shaft of the hoist, a three-dimensional parametric model of the main shaft is established, and the three-dimensional parametric model of the main shaft is imported into the finite element software for static analysis.

[0046] Step 3, according to the mean value and the variance of each basic parameter of the main axis determined in step 1, in c...

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 method for assessing the reliability of a main shaft of a kilometer deep shaft hoist by considering multiple failure modes. The method comprises the steps of firstly, building a parametric three-dimensional model of the main shaft according to the structure size of the main shaft; secondly, according to a probability attribute of a random variable of the main shaft, establishing a sampling matrix of the random variable, and solving strength and stiffness response of the main shaft under the sampling matrix by using a finite element method; thirdly, establishing an explicit function between the response and the random variable matrix by using a neutral network method, and according to strength and stiffness design criteria, establishing explicit functions in strength and stiffness failure modes; fourthly, calculating two failure probabilities by using a saddle point approximation method; and finally, building a joint failure probability model between the two failure modes through a Clayton copula function, and solving system reliability under joint failure by using an interval reliability method. According to the method, the probability correlation between strength failure and stiffness failure is considered, so that the system reliability of the main shaft of the hoist can be assessed more accurately and reasonably.

Description

technical field [0001] The invention relates to a system reliability evaluation method of a mechanical product for the main shaft of a hoist in a kilometer deep well and considering the probability correlation of failure modes, and belongs to the technical research field of mechanical structure reliability. Background technique [0002] At present, most of the coal wells in my country are shallow wells, 500-800m deep to the ground, and coal resources buried at a depth of 1000-2000m account for about 53% of the total reserves, and a kilometer-deep well hoisting system must be used (including hoists, hoisting containers, lifting wire rope, etc.). As the main load-bearing part of the hoist, the main shaft bears all the torque of lifting and lowering the load, and also bears the tension of the steel wire ropes on both sides. As the depth of the well reaches more than 1,000 meters, the maximum static tension of the hoist and the number of winding layers of the main shaft drum inc...

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
CPCG06F17/18G06F30/23G06N7/04G06F30/00
Inventor 卢昊朱真才曹国华周公博李伟彭玉兴沈刚王大刚江帆
Owner CHINA UNIV OF MINING & 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