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

Method and system for identifying wire fracture damage of steel wire rope

A damage identification and steel wire rope technology, which is applied in the field of civil engineering structure detection, can solve the problems of unobvious signal peaks, quantitative analysis of the number of broken wire ropes, and the inability to accurately determine the number of broken wires, etc., to achieve strong self-learning ability, Significant peak-to-peak effect

Active Publication Date: 2019-09-13
HUAZHONG UNIV OF SCI & TECH
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the wire rope detector can only qualitatively analyze the broken wire damage of the wire rope, but cannot quantitatively analyze the number of broken wires in the wire rope
Moreover, the detection signal is easily affected by external noise and other factors, resulting in insignificant peak and peak values ​​of the signal.
[0005] It can be seen that most of the traditional nondestructive testing methods for steel wire ropes can only detect whether there are broken wires in the steel wire rope, but cannot accurately determine the number of broken wires.

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 and system for identifying wire fracture damage of steel wire rope
  • Method and system for identifying wire fracture damage of steel wire rope
  • Method and system for identifying wire fracture damage of steel wire rope

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0043] like figure 1 As shown, a kind of wire rope broken wire damage identification method based on wavelet transform and neural network in the preferred embodiment of the present invention includes an offline training step and an online detection step, wherein:

[0044] The off-line training steps include:

[0045] (1) A large number of steel wire ropes with a known number of broken wires ar...

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

PropertyMeasurementUnit
diameteraaaaaaaaaa
lengthaaaaaaaaaa
Login to View More

Abstract

The invention discloses a method for identifying wire fracture damage of a steel wire rope based on wavelet transformation and a neural network, and belongs to the field of civil engineering structuredetection. The method comprises the following steps: firstly, detecting a steel wire rope with an unknown number of fractured wires by using a steel wire rope detection instrument, extracting a detected leakage flux signal and recording the parameters such as the diameter of the steel wire rope and the operation speed of the steel wire rope detection instrument; then, carrying out continuous wavelet transformation on the extracted and detected leakage flux signal by using multi-resolution characteristics and singularity detection capacity of wavelet transformation, and recording a wavelet coefficient peak-to-peak value after transformation; then, guiding the characteristic values such as recorded peak-to-peak value and the diameter of the steel wire rope into the neural network which hasbeen trained; and finally, obtaining parameters output by the neural network so as to complete quantitative damage identification for the number of fractured wires of the steel wire rope. According tothe method, quantitative identification for the number of fractured wires of the steel wire rope is realized, and the method has relatively high practicability.

Description

technical field [0001] The invention belongs to the field of civil engineering structure detection, and relates to a method and system for identifying damage of broken steel wire ropes, and more specifically, to a method and system for identifying damage of broken steel wire ropes based on wavelet transform and neural network. Background technique [0002] As an engineering material or device, steel wire rope has been widely used in my country's infrastructure projects. With the rapid development of social production and construction, the production and demand of steel wire rope continue to grow, and its production efficiency and speed also increase rapidly. Wire ropes are affected by environmental corrosion, uncertain alternating loads, mechanical shocks, wear, etc. during operation, and damage such as broken wires may occur. [0003] The traditional nondestructive testing methods for steel wire ropes include magnetic particle testing (MPI), penetrant testing (PT), eddy cur...

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): G01N27/84G06K9/62G06N3/04
CPCG01N27/84G06N3/04G06F18/214
Inventor 朱宏平翁顺王盟孙燕华木威威杜荣武陈志丹李佳靖
Owner HUAZHONG UNIV OF SCI & 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