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

A multi-domain semi-supervised fault diagnosis method and device for axial piston pump bearings

An axial piston pump and fault diagnosis technology, which is applied in measurement devices, neural learning methods, testing of mechanical components, etc., can solve problems such as cross-domain fault diagnosis of axial piston pump bearings, and achieve outstanding and powerful results. Effects of Domain Fault Diagnosis Advantages

Active Publication Date: 2022-06-03
WENZHOU UNIV
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the embodiments of the present invention is to provide a multi-domain semi-supervised fault diagnosis method for axial piston pump bearings, which can solve the cross-domain problem of existing axial piston pump bearing fault diagnosis

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
  • A multi-domain semi-supervised fault diagnosis method and device for axial piston pump bearings
  • A multi-domain semi-supervised fault diagnosis method and device for axial piston pump bearings
  • A multi-domain semi-supervised fault diagnosis method and device for axial piston pump bearings

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] It should be noted that the labels include, but are not limited to, normal, inner ring failure, outer ring failure, and rolling element failure. like

[0065]

[0068]

[0071] L

[0078] 5) Repeat 3) and 4) until the position of the cluster center no longer changes.

[0082] Secondly, with the trained transfer learning network, the classifier will output the correct class labels for each domain sample. for

[0084]

[0086] The unlabeled samples of each target domain are introduced into the domain adaptation network together with the labeled source domain data, and the

[0087]

[0091] To verify the effectiveness of the method proposed in this patent, four classic transfer learning algorithms are used for comparison. respectively

[0093]

[0103] Those of ordinary skill in the art can understand that all or part of the steps in the method of the above-mentioned embodiments can be realized.

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 present invention provides a multi-domain semi-supervised fault diagnosis method for axial piston pump bearings, which includes obtaining source domain signals and target domain signals and performing transformation processing to obtain source domain samples and target domain samples; the source domain signal is a certain The vibration signal of known part of the fault information under the working condition; the target domain signal is the vibration signal of the unknown part of the fault information under another working condition; the trained semi-supervised fault diagnosis model is used to process the source domain samples after time-frequency transformation Carry out semi-supervised fault diagnosis in the source domain to obtain all labeled fault samples in the source domain; simultaneously import all labeled fault samples in the source domain and target domain samples after time-frequency transformation processing into the trained multi-target domain migration learning network for each The diagnosis results of all samples are obtained through the fault diagnosis of domain; the diagnosis results include normal, inner ring fault, outer ring fault and rolling element fault. The implementation of the invention can solve the cross-domain problem of existing axial piston pump bearing fault diagnosis.

Description

A multi-domain semi-supervised fault diagnosis method and device for axial piston pump bearing technical field The present invention relates to mechanical equipment fault diagnosis technical field, relate in particular to a kind of multi-domain semi-diagnosis of axial piston pump bearing Supervise fault diagnosis methods and devices. Background technique Axial piston pump plays an important role in industrial applications, with the rapid development of industry, for the axial column The requirements of plug pumps are becoming more and more stringent, and they are required to work for a long time under conditions such as high temperature, high pressure, and high speed. in this way Working for a long time in a difficult working environment can lead to the failure of some key components in the axial piston pump. bearing as one of It is a kind of vulnerable parts, the failure will be very serious, it may cause the entire production line to stop, resulting in economic l...

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): G01M13/045G06K9/00G06K9/62G06N3/04G06N3/08
CPCG01M13/045G06N3/08G06N3/045G06F2218/02G06F2218/12G06F18/23213G06F18/2155G06F18/24Y02T90/00
Inventor 汤何胜和猷任燕向家伟
Owner WENZHOU 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