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

Bearing Health Assessment Method Based on Relational Network

A technology of relational network and health assessment, applied in neural learning methods, biological neural network models, manufacturing computing systems, etc., can solve problems such as economic losses and threats to personal safety, and achieve easy access, improved application prospects, distance or similarity accurate effect

Active Publication Date: 2022-07-08
SHIJIAZHUANG TIEDAO UNIV
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the bearing fails, it will cause economic loss at least, and threaten personal safety at the most

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
  • Bearing Health Assessment Method Based on Relational Network
  • Bearing Health Assessment Method Based on Relational Network
  • Bearing Health Assessment Method Based on Relational Network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] Many specific details are set forth in the following description to facilitate a full understanding of the present invention, but the present invention can also be implemented in other ways different from those described herein, and those skilled in the art can do so without departing from the connotation of the present invention. Similar promotion, therefore, the present invention is not limited by the specific embodiments dis...

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 bearing health assessment method based on a relationship network, and relates to the technical field of bearing health assessment methods. The method includes the following steps: taking the first sample of the initial operating state of the bearing to be evaluated as the support set S, the m samples of the early normal operating state as the query set Q for training, the sample y of the current operating state for testing, and constructing Query the health labels of m samples in the set Q; build a relationship network model for bearing health assessment; obtain the parameters of the relationship network model; use the trained relationship network model to calculate the relationship score between the bearing current state samples and the support set S, and then compare The relationship score is subjected to Savitzky-Golay smoothing filtering to obtain the bearing state health score; the method can evaluate the bearing health in the case of unknown fault data, and can more accurately reflect the bearing health.

Description

technical field [0001] The invention relates to the technical field of signal processing methods, in particular to a bearing health assessment method based on a relational network. Background technique [0002] Bearings are one of the indispensable parts in mechanical equipment, and also one of the parts that are prone to failure in mechanical equipment. If the bearing fails, it will cause economic losses in light, and threaten personal safety in serious cases. In order to reduce the various hazards caused by bearing failures, the health assessment method of the bearing can be used to accurately detect the abnormality in time and replace the bearing before the minor failure of the bearing has caused any loss. SUMMARY OF THE INVENTION [0003] The technical problem to be solved by the present invention is how to provide a bearing health assessment method based on a relational network with high bearing health assessment accuracy. [0004] In order to solve the above-mentio...

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 Patents(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/04G06N3/084G06Q10/06393G06F2218/04G06F2218/08Y02P90/30
Inventor 赵志宏张然孙诗胜杨绍普李春秀吴冬冬刘克俭刘永强顾晓辉
Owner SHIJIAZHUANG TIEDAO 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