Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Gear classification method based on sound analysis

A classification method, gear technology, applied in the testing of mechanical components, testing of machine/structural components, measuring devices, etc., can solve problems such as lack of gear differentiation, and achieve the effect of improving production efficiency

Pending Publication Date: 2020-09-01
HARBIN UNIV OF SCI & TECH
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In today's industrial applications, there are many methods for gear noise detection and analysis. The order analysis can analyze the sound signal related to the speed well by sampling the signal at equal angles, but there is a lack of a fast gear noise detection method. How the grades make the distinction

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
  • Gear classification method based on sound analysis
  • Gear classification method based on sound analysis
  • Gear classification method based on sound analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0047] Embodiments of the present invention are described below through specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific implementation modes, and various modifications or changes can be made to the details in this specification based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, in the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

[0048] It should be noted that the diagrams provided in the following embodiments are only schematically illustrating the basic ideas of the present invention, and only the components related to the present invention are shown in the diagrams rather than the number, shape and number of componen...

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 gear classification method based on sound analysis, and belongs to the technical field of gear analysis and evaluation. The method comprises the following steps of S1, collecting vibration signals and rotating speed signals in the gear rotating process; S2, performing equal-angle resampling on the vibration signal and the rotating speed signal of the gear to generate a synchronous sampling signal of the vibration signal; S3, performing order analysis on the resampling data to obtain order analysis data; S4, constructing a gear grading model for the order analysis databy adopting an algorithm based on a support vector machine so as to realize grading of gears. According to the invention, the grades of the gears can be quickly distinguished.

Description

technical field [0001] The invention relates to the field of gear detection and evaluation, in particular to a gear classification method based on sound analysis. Background technique [0002] In modern gear processing, gear noise control has become an important quality control link. The strength of gear noise can reflect the load-carrying capacity, safety factor and working life of gears. The quality of gears directly affects the quality of mechanical equipment. [0003] In today's industrial applications, there are many methods for gear noise detection and analysis. The order analysis can analyze the sound signal related to the speed well by sampling the signal at equal angles, but there is a lack of a fast gear noise detection method. The method by which the grades are distinguished. The support vector machine (SVM) algorithm is a learning technique based on small samples, and this technique has the advantages of high classification accuracy, simple structure and strong ...

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): G06K9/00G01M13/021G01M13/028
CPCG01M13/021G01M13/028G06F2218/12
Inventor 薛萍郝鹏王宏民
Owner HARBIN UNIV OF SCI & TECH
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
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