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

Signal processing method and device for fault diagnosis of gear box equipment

A technology of equipment faults and gearboxes, applied in the field of signal processing, can solve problems such as poor accuracy of fault diagnosis, and achieve the effect of improving accuracy

Inactive Publication Date: 2017-10-13
武汉钢铁有限公司
View PDF7 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] In order to solve the above-mentioned problems in the prior art, the present invention provides a signal processing method and device for fault diagnosis of gearbox equipment to solve the technical problem of poor fault diagnosis accuracy in the prior art

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
  • Signal processing method and device for fault diagnosis of gear box equipment
  • Signal processing method and device for fault diagnosis of gear box equipment
  • Signal processing method and device for fault diagnosis of gear box equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0036] Such as figure 1 As shown in , this embodiment provides a signal processing method for fault diagnosis of gearbox equipment, including the following steps:

[0037] S1. Perform redundant lifting wavelet decomposition on the obtained discrete signal, and obtain the detail signal and approximation signal of the current decomposition layer;

[0038] S2. Perform singular spectrum analysis on the detail signal to obtain the singular value of the detail signal at the current decomposition layer;

[0039] S3. Calculate the singular spectrum slope of the current decomposition layer according to the singular value of the detail signal of the current decomposition layer;

[0040]S4. If the singular spectrum slope of the current decomposition layer is less than the preset threshold, update the discrete signal in response to the approximation signal, and return to step S1; otherwise, it is optimal to obtain the number of layers of the current decomposition layer Decompose layers....

Embodiment 2

[0083] Such as Figure 4 As shown, this embodiment provides a signal processing device for fault diagnosis of gearbox equipment using the above method, including:

[0084] A signal acquisition unit 100, configured to acquire acoustic emission signals in the working state of the gearbox;

[0085] Specifically, the acoustic emission sensor can be installed on the part of the gearbox equipment that needs to be monitored, generally at the bearing seat of the gearbox, to collect the acoustic emission signal of the gearbox in the working state.

[0086] The redundant lifting wavelet decomposition unit 200 is used to perform redundant lifting wavelet decomposition on the obtained discrete signal, and obtain the detail signal and the approximation signal of the current decomposition layer;

[0087] Specifically, a group of equally spaced acoustic emission signals collected by the signal collection unit 100 can be selected as the initial value X=[x(1),x(2),...,x(n)] of the discrete si...

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 belongs to the technical field of signal processing and relates to a signal processing method and device for the fault diagnosis of gear box equipment. The method comprises a step of carrying out redundant lifting wavelet decomposition on an obtained discrete signal and obtaining a detail signal and an approximation signal of a current decomposition layer, a step of carrying out singular spectral analysis on the detail signal and obtaining a singular value of the detail signal of the current decomposition layer, a step of calculating a singular spectrum slope of the current decomposition layer according to the singular value of the detail signal of the current decomposition layer, a step of responding to the approximation signal if the singular spectrum slope of the current decomposition layer is smaller than a preset threshold, updating the discrete signal, repeating the above steps, otherwise obtaining a minimum value between the number of layers of the current decomposition layer and 5 to be an optimal decomposition layer number. A collected acoustic emission signal is analyzed to judge an equipment fault condition. A technical problem of poor accuracy of the fault diagnosis of the gear box equipment in the prior art is solved, and the accuracy of the fault diagnosis is effectively improved.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a signal processing method and device for fault diagnosis of gearbox equipment. Background technique [0002] Gearboxes are the main transmission components in mechanical equipment and are also the most prone to failure. The fault diagnosis of transmission components such as gearboxes has become a key issue in the maintenance of many equipment. Due to the complex situation of the equipment site, the fault signal is often submerged by noise. Therefore, how to extract the feature of the fault signal and purify the signal is very important for the early fault diagnosis of the equipment. Equipment fault diagnosis is to judge and analyze the state of mechanical operation, including monitoring of mechanical equipment state, early fault identification and fault diagnosis. The fault diagnosis process includes three parts: acquisition of fault information, extraction of fault f...

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): G01M13/02
CPCG01M13/028G01M13/021
Inventor 彭炜贾生晖张战果
Owner 武汉钢铁有限公司
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