Rolling bearing fault diagnosis method

A rolling bearing and fault diagnosis technology, applied in the direction of mechanical bearing testing, measuring devices, instruments, etc.

Inactive Publication Date: 2016-08-31
SHANGHAI DIANJI UNIV
View PDF6 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The technical problem to be solved by the present invention is: It is difficult to make an accurate assessm

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
  • Rolling bearing fault diagnosis method
  • Rolling bearing fault diagnosis method
  • Rolling bearing fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] Below in conjunction with specific embodiment, further illustrate the present invention. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the teachings of the present invention, those skilled in the art can make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined by the appended claims of the present application.

[0047] The present invention proposes a rolling bearing fault diagnosis method based on the improved fractal box dimension and self-adaptive gray relational theory. More useful and easier to distinguish information), and then, through the adaptive gray relational algorithm to automatically identify the bearing fault type and different severity, the specific steps are as follows:

[0048] Step 1. Sampling the vibration signals ...

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 brings forward a rolling bearing fault diagnosis method based on improved fractal box dimensions and a self adaption gray correlation theory. Fault characteristics (including useful and easy-to-differentiate information capable of reflecting different working states of a bearing) are extracted from bearing vibration signals via the improved fractal box dimensions, and fault types and different orders of severity of bearings can be automatically identified via self adaption gray correlation algorithms. The rolling bearing fault diagnosis method is used for solving a problem that work and health states of rolling bearings cannot be easily assessed via traditional time domain and frequency domain methods; via the rolling bearing fault diagnosis method, fault types and different orders of severity of different bearings can be accurately and effectively identified.

Description

technical field [0001] The invention relates to a rolling bearing fault diagnosis method based on a multi-fractal dimension algorithm and an adaptive gray correlation theory algorithm. Background technique [0002] As an important component, rolling bearings are widely used in almost all types of rotating machinery. Rolling bearing failure is one of the most important causes of failure and damage of rotating machinery, and brings huge economic losses. In order to ensure reliable operation of the unit and reduce economic losses, it is extremely necessary to develop a reliable and effective rolling bearing fault diagnosis method. Among the many bearing fault diagnosis methods, the diagnosis method based on vibration signal has received extensive attention in the past few decades. [0003] The vibration signal of the bearing contains rich information on the health status of the machine, which also makes it possible to extract the dominant features representing the health stat...

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): G01M13/04G06K9/00
CPCG01M13/045G06F2218/12
Inventor 李靖超应雨龙王英赫董春蕾
Owner SHANGHAI DIANJI 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap