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

Method for quantitatively identifying performance degradation degree of rolling bearing

A rolling bearing and degradation degree technology, which is applied in the field of identification of rolling bearing performance degradation degree, can solve problems such as identification of degradation degree that is difficult to deal with ambiguity, and achieve the effect of preventing major accidents

Inactive Publication Date: 2012-10-17
XI AN JIAOTONG UNIV
View PDF3 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the traditional method of using mathematical statistics to extract signal features to identify the degree of degradation of bearing performance can solve the randomness, it is difficult to deal with the problem of identification of the degree of degradation with ambiguity

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 quantitatively identifying performance degradation degree of rolling bearing
  • Method for quantitatively identifying performance degradation degree of rolling bearing
  • Method for quantitatively identifying performance degradation degree of rolling bearing

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0088] Use simulation to simulate vibration signals including the effects of bearing dimensions, rotational speed, load distribution, transfer functions, and oscillation damping.

[0089] x ( t ) = Σ i = 1 M { A 0 · cos [ 2 π f m ( iT + τ i ) ] } · { e - B ( t - iT - τ i ) cos [ 2 ...

Embodiment 2

[0097] In order to verify the correctness of the method described in this paper, the test is carried out on a full-life fatigue testing machine. The model of the experimental bearing is 30311, and the model of the supporting bearing is N312. The bearing parameters are shown in Table 1. The experimental platform is designed as a simply supported beam structure. The tapered roller bearings at both ends are experimental bearings, and the cylindrical roller bearings in the middle are support bearings. The experimental speed is 1500r / min, the axial load is 15kN, and the radial load is 27kN. The whole life test is carried out in accordance with the industry standard JB / T 50013-2000. The sampling frequency is 10000Hz, one sample is stored every 5 minutes, and each sample contains 32768 vibration values. In this experiment, the rolling bearing finally failed due to the outer ring failure.

[0098] Table 1 Dimensional parameters of experimental bearings and support bearings

[0099]...

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 quantitatively identifying the performance degradation degree of a rolling bearing. The method comprises the following steps of: extracting time domain statistical characteristics of a vibration signal of the rolling bearing, selecting a stability characteristic and a sensitivity characteristic as input vectors, establishing a fuzzy support vector description model, and calculating a fuzzy monitoring coefficient; and introducing operation time on the basis of the fuzzy monitoring coefficient to construct a monotonic damage degree index and quantitatively identify the performance degradation degree of the rolling bearing. By the method, the performance degradation degree of the rolling bearing in the whole life cycle can be quantitatively identified, initial damage and final failure are found as soon as possible, and major accidents are prevented.

Description

technical field [0001] The invention relates to a method for identifying the performance degradation degree of a rolling bearing. Background technique [0002] Rolling bearings are one of the three core components of rotating machinery, and their performance status directly affects the operational reliability of the entire equipment. For example, one of the primary reasons for the air stop of the CFM56-3 type aero-engine is the failure of the front rolling bearing of the high-pressure air compressor. Quantitative identification of the degree of performance degradation can effectively ensure reliable operation of equipment. At the same time, for key equipment such as large-scale wind turbine main shaft bearings that require a procurement cycle of more than one year, accurate identification of the degree of degradation can provide a reliable basis for making a reasonable spare parts procurement plan and equipment maintenance plan. Therefore, it is an important research direc...

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
IPC IPC(8): G01M13/04
Inventor 何正嘉申中杰李兵曹宏瑞訾艳阳陈雪峰张周锁蔡改改陈彬强孙海亮李继猛
Owner XI AN JIAOTONG UNIV
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