Online oxidative wear state monitoring method based on color extraction of wear particle image

A technology for oxidizing wear and abrasive particles, which is applied in the directions of measuring devices, optical testing of flaws/defects, and material analysis through optical means. It can solve problems such as technical application limitations and inability to analyze in real time, and achieve the effect of improving accuracy

Inactive Publication Date: 2016-07-13
XI AN JIAOTONG UNIV
View PDF4 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the above defects, the current online wear particle monitoring is still unable to realize the real-time analysis of the oxidation and wear state based on the color of the abrasive particles, and its technical application is greatly limited.

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
  • Online oxidative wear state monitoring method based on color extraction of wear particle image
  • Online oxidative wear state monitoring method based on color extraction of wear particle image
  • Online oxidative wear state monitoring method based on color extraction of wear particle image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0034] The method will be described below in conjunction with the accompanying drawings.

[0035] An online oxidation wear state monitoring method based on the color extraction of abrasive grain images, comprising the following steps:

[0036] Step 1. Use a video-based on-line monitoring probe for lubricating oil abrasive particles (public number: CN201310141314.9) to obtain online images and videos of abrasive particles. Since online oxidation and wear state monitoring is used in industrial sites, it is a kind of Real-time monitoring means, so due to the influence of oil characteristics and environmental factors, the edge color and outline of abrasive grains in the collected images will become blurred, so it is necessary to perform background subtraction, filtering and blur restoration on the image in order to Obtain a clear image of wear particles. Such as figure 1 Nine images from a video stream are shown, each abrasive grain image consists of two parts, the abrasive grai...

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 an online oxidative wear state monitoring method based on color extraction of a wear particle image. The online oxidative wear state monitoring method is used for carrying out image acquisition on oil which possibly carries oxidative wear particles. A method for realizing image clearness is provided for the condition that an acquired wear particle image is fuzzy. A clear wear particle image obtained by the method has a pure background; wear particles have clear outlines and color features, then the color features of the wear particles are extracted, and a corresponding relation model of the color features and the oxidative wear state of the wear particles is provided; an occurred oxidative wear type is judged for newly acquired wear particles according to the corresponding relation model. According to the online oxidative wear state monitoring method disclosed by the invention, the problem that an image is fussy by reasons of movement of wear particles, color of oil and the like, resulting in failing to obtain color information of the wear particles accurately, is effectively solved; the method provides a theoretical basis and guidance for application of online monitoring of oxidative wear in an industrial field.

Description

technical field [0001] The invention belongs to the technical field of on-line monitoring of the wear state of equipment tribology systems, and in particular relates to an online oxidation wear state monitoring method based on color extraction of abrasive grain images. Background technique [0002] During the operation of the equipment, due to insufficient lubrication conditions, direct contact and friction of the metals of the friction pair will generate a large amount of heat, which will not only cause degradation or even failure of the lubricating oil, but also lead to oxidative wear of the friction pair, which will lead to failures such as gluing and peeling. . Therefore, oxidation wear has become an important part of equipment operation status monitoring and fault warning. [0003] Abrasive particles, as a direct product of the wear process, carry a large amount of wear information. The wear particles produced in the oxidation process have obvious color characteristic...

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): G01N21/88
CPCG01N21/8851G01N2021/8854
Inventor 武通海王龙鑫彭业萍王硕
Owner XI AN JIAOTONG UNIV
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