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

Fault diagnosis method

A technology of fault diagnosis and fault frequency, applied in the field of fault diagnosis and bearing fault diagnosis, it can solve problems such as incompleteness and inaccurate judgment of bearing faults, and achieve the effect of clear and clear judgment process, shortening measurement period, and ensuring safe and stable operation.

Active Publication Date: 2018-04-06
LINGDONG NUCLEAR POWER +4
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of this application is to overcome the defects of inaccurate and incomplete judgment of existing bearing faults and provide a fault diagnosis method

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
  • Fault diagnosis method
  • Fault diagnosis method
  • Fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Please refer to figure 1 , fault diagnosis methods include:

[0039] 101. Detect the bearing, and obtain the bearing impact energy value and spectrum of the shaft from the detection end. Specifically, the vibration analyzer detects the bearing to obtain the vibration data of the bearing. The vibration data is processed by a computer to obtain the impact energy value, velocity spectrum, and velocity trend graph, waterfall graph;

[0040] 102. Determine the interval according to the impact energy value. If the impact energy value falls into the interval [2E, 3E), go to step 103. If the impact energy value falls in the interval [3E, 10E), go to step 107. E means the bearing is normal and stable. Impact energy value during operation;

[0041] 103. Judging from the speed trend graph whether the amplitude has doubled or more than doubled, whether there is frequency multiplication or high frequency in the speed spectrum, and whether there are fault characteristics that disti...

Embodiment 2

[0051] Please refer to figure 2 , fault diagnosis methods include:

[0052] 201. Obtain the bearing impact energy value and frequency spectrum from the detection end;

[0053] 202. Determine the interval according to the impact energy value, if the impact energy value falls into the interval [2E, 3E), enter step 203; if the impact energy value falls within the interval [3E, 10E), enter step 206;

[0054] 203. Judging from the speed trend graph whether the amplitude has doubled or more than doubled, whether there is frequency multiplication or high frequency in the speed spectrum, and whether there is a fault feature distinguishing peaks in the waterfall graph, if any of the above fault features exists, enter the step 204;

[0055] 204. Judging from the frequency spectrum whether there is a fault frequency, if there is a fault frequency, enter step 205;

[0056] 205. Disassemble the bearing;

[0057] 206. Determine whether abnormal temperature, abnormal noise, white noise,...

Embodiment 3

[0062] Please refer to image 3 , fault diagnosis methods include:

[0063] 301. Obtain the bearing impact energy value and frequency spectrum from the detection end;

[0064] 302. Determine the interval according to the impact energy value. If the impact energy value falls into the interval [2E, 3E), enter step 303; if the impact energy value falls within the interval [3E, 10E), enter step 306. If the impact energy value fall into the interval [10E, +∞), then enter step 305;

[0065] 303. Judging from the speed trend graph whether the amplitude has doubled or more than doubled, whether there is frequency multiplication or high frequency in the speed spectrum, and whether there is a fault feature that distinguishes peaks in the waterfall graph, if any of the above fault features exists, enter the step 304;

[0066] 304. Judging from the frequency spectrum whether there is a fault frequency, if there is a fault frequency, enter step 305;

[0067] 305. Disassemble the bearin...

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 fault diagnosis method. A bearing impact energy value and a spectrum are acquired from a detection end; the belonging interval is judged according to the impact energy value,if the impact energy value is located in a supervision enhancement interval, whether fault features happen to the spectrum is judged, if the fault features appear, whether a fault frequency exists iscalculated according to the spectrum, and if the fault frequency exists, the bearing is disintegrated; if the impact energy value is located in a device fault interval, whether temperature abnormality, noise abnormality, white noise and a high-frequency component appear is judged, if any of the above features appears, lubrication is carried out, if the temperature abnormality, the noise abnormality, the white noise and the high-frequency component do not disappear completely after the lubrication, whether a fault frequency exists is judged, and if the fault frequency exists, the bearing is disintegrated. As interval processing is carried out on the impact energy, various fault features appearing in the spectrum and the fault frequency are combined in different energy intervals to judge the bearing, the state of the bearing can be accurately judged, and the bearing can be disintegrated in a corresponding state.

Description

technical field [0001] The present application relates to the technical field of bearing fault diagnosis, in particular to a fault diagnosis method. Background technique [0002] Bearing is one of the most widely used mechanical parts, and it is also one of the most easily damaged parts in mechanical equipment. Whether its working status is normal or not is directly related to the production and safety of the entire unit. Bearing failures are caused by fatigue spalling, wear, plastic deformation, corrosion, fracture, gluing, and cage damage. If the bearing failure is not diagnosed in time, it may lead to serious failure of machinery and equipment, resulting in huge economic losses, especially for nuclear power plants and other environments with high safety requirements. Therefore, diagnosing the fault characteristics of bearings has great practical significance to avoid serious faults and ensure the normal operation of mechanical equipment. [0003] Bearing faults have a d...

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): G01M13/04
CPCG01M13/045
Inventor 王卫东刘涛黄前进万平生陈勇孙仁贵夏军文江世刚赵一云旷一众
Owner LINGDONG NUCLEAR POWER
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com