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

Planetary gear degradation state identification method

A planetary gear and state recognition technology, applied in special data processing applications, instruments, biological neural network models, etc., can solve problems such as local optimum and overfitting, inability to handle multi-dimensional data, poor recognition effect, etc., and achieve reliable results , The recognition process is fast and the effect of versatility is strong

Inactive Publication Date: 2019-09-10
HOHAI UNIV CHANGZHOU
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional pattern recognition methods, such as support vector machines, backpropagation neural networks, and fuzzy clustering, cannot handle multi-dimensional data, the recognition effect is poor, the training samples are small, and it is easy to fall into local optimum and overfitting

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
  • Planetary gear degradation state identification method
  • Planetary gear degradation state identification method
  • Planetary gear degradation state identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0121] Combined with the experiment, the above methods are comprehensively used to identify the degradation state of the planetary gear. The planetary gear failure experiment was carried out on the DDS mechanical failure comprehensive simulation test bench of Spectra Quest Company in the United States. In this experiment, a total of 9 degradation states of normal planetary gears, fractured planetary gears, and 4-stage degradation states of pitted planetary gears were measured. By analyzing the collected vibration signals, the established degradation state identification method was tested.

[0122] The planetary gear fault simulation experiment was carried out on the DDS mechanical fault comprehensive simulation test bench, and a total of 9 degradation states of normal planetary gears, fractured planetary gears, and pitting planetary gears were extracted. According to the preliminary analysis of the basic parameters of the planetary gearbox on the test bench and its early vibra...

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 planetary gear degradation state identification method. The method comprises the following steps of carrying out the optimized arrangement of a plurality of vibration sensorsand the original vibration signal acquisition; decomposing an original vibration signal into a plurality of SSDC components by adopting the adaptive improved singular spectrum decomposition, extracting the multi-scale enhanced information dimensions of the plurality of SSDC components to form a planetary gear degradation state characteristic matrix, and constructing a planetary gear degradation state recognition model based on a convolutional neural network. According to the method, the characteristic information matrix generated by the degradation state of the planetary gear can be extracted, the degradation state of the planetary gear is recognized according to the extracted characteristic information matrix, and the method is an effective planetary gear degradation state recognition method.

Description

technical field [0001] The invention relates to a planetary gear degradation state identification method, which belongs to the technical field of planetary gear fault diagnosis. Background technique [0002] Planetary gear transmission has the advantages of small size, light weight, and large transmission ratio. It is widely used in the transmission system of large and complex machinery. Its long-term operation under harsh working conditions is prone to local damage and undergoes different degradation states. It is a fatal failure that directly affects the operational reliability of electromechanical equipment. Therefore, accurately identifying the current degradation state of the planetary gear is of great significance for the purposeful maintenance of the planetary gear train, further predicting the development trend of the planetary gear train failure, and avoiding sudden failures. [0003] In actual engineering, the working environment of the planetary gear is relativel...

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): G06F17/50G06N3/04
CPCG06F30/17G06N3/045
Inventor 陈曦晖杨泽南杨子豪
Owner HOHAI UNIV CHANGZHOU
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