Method for monitoring and diagnosing flat wheel state of rail vehicle based on VMD

A technology of rail vehicle and diagnosis method, applied in the field of flat wheel fault monitoring, can solve the problems of EMD mode aliasing, missing feature information, etc., and achieve the effect of accurate identification

Inactive Publication Date: 2017-04-26
GUANGZHOU METRO GRP CO LTD +1
View PDF2 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, EMD is prone to modal aliasing, resulting in missing important feature information

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 monitoring and diagnosing flat wheel state of rail vehicle based on VMD
  • Method for monitoring and diagnosing flat wheel state of rail vehicle based on VMD
  • Method for monitoring and diagnosing flat wheel state of rail vehicle based on VMD

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The preferred embodiments of the present invention will be described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described here are only used to illustrate and explain the present invention, and are not intended to limit the present invention.

[0051] Such as Figure 1 to Figure 13 As shown, the method for monitoring and diagnosing the status of the flat wheels of rail vehicles based on VMD in the present invention adopts the method of variational mode decomposition VMD, which is a new method of modal estimation, by iteratively searching the variational problem Optimal solution, thus decomposing the frequency centers and bandwidths of the components. At the same time, the variational mode decomposition VMD is applied to the flat wheel collision fault diagnosis. Through the comparative analysis with EMD, the superiority of the variational mode decomposition VMD in diagnosing this type of fault is obtained. ...

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 monitoring and diagnosing a flat wheel state of a rail vehicle based on VMD. The method comprises the following steps of acquiring a vibration signal of a flat wheel through a sensor which is mounted in a rail; performing VMD variation modal decomposition on the vibration signal and obtaining a plurality of modals in different frequencies; constructing an envelope spectrum entropy characteristic for the plurality of modals; selecting an envelope spectrum entropy value with high consistency with the vibration signal from the envelope spectrum entropy characteristic; and inputting a plurality of selected envelope spectrum entropy values into a training support vector machine for performing identification, thereby identifying the working condition of the flat wheel. The method for monitoring and diagnosing the flat wheel state of the rail vehicle based on VMD has an advantage of high flat wheel working condition identification accuracy.

Description

technical field [0001] The invention belongs to the technical field of flat wheel fault monitoring, and in particular relates to a VMD-based method for monitoring and diagnosing the state of a rail vehicle flat wheel. Background technique [0002] Wheels are the key components of rail vehicles. Under the background of frequent train speed increases and increasing loads, car body failures become complex and diverse, and flat wheel failures are one of them. The generation of flat wheels will lead to problems such as vehicle bearing damage, shaft temperature rise, and rail corrugation. There are four working conditions that need to be monitored, specifically, the tread is normal, the tread is scratched, the tread is peeled off, and the circumference is worn. There are many non-contact on-line monitoring methods for flat wheel faults. The common methods at home and abroad include displacement detection method, electrical signal detection method, vibration analysis method, etc. ...

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): G01M17/10
CPCG01M17/10
Inventor 杨玲芝方恩权敖银辉
Owner GUANGZHOU METRO GRP CO LTD
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