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

Fault severity evaluation method based on variable-step multi-scale complexity fusion index

A technology of severity and complexity, which is applied in the field of fault severity assessment of variable-step multi-scale complexity fusion indicators, and can solve problems such as incomplete fault feature extraction.

Pending Publication Date: 2022-02-11
SUZHOU UNIV
View PDF3 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current damage assessment method does not fully extract fault features.

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
  • Fault severity evaluation method based on variable-step multi-scale complexity fusion index
  • Fault severity evaluation method based on variable-step multi-scale complexity fusion index
  • Fault severity evaluation method based on variable-step multi-scale complexity fusion index

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, so that those skilled in the art can better understand the present invention and implement it, but the examples given are not intended to limit the present invention.

[0050] The experimental data comes from the bearing fault simulation test bench with visual radial loading. The test device is as follows: figure 1 shown. The tested bearing adopts 6205-2RSSKF deep groove ball bearing, and the inner ring, outer ring and rolling body of the bearing are respectively processed with a width of about 0.2mm, 0.3mm, 0.4mm, 0.5mm, 0.6mm and a depth of about 0.3mm by wire cutting method. groove. The bearing is driven by a drive motor at a speed of 900r / min, and the sampling frequency is set at 10kHz. figure 1 The acceleration sensor in the test is installed above the bearing under test, and the loading device can realize radial loading on the bearing, an...

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 fault severity evaluation method based on a variable-step size multi-scale complexity fusion index. According to the method, firstly, a variable step size multi-scale strategy is put forward, fault features are mined more comprehensively by optimizing a coarse graining process, and the strategy solves a problem that deep information is difficult to mine due to single-scale analysis of a traditional complexity index (LZC); a problem that the calculation result is inaccurate due to the fact that the sequence length of a traditional multi-scale complexity index (MLZC) is shortened along with the increase of the scale is solved, and a variable step size multi-scale complexity index (VSMLZC) is constructed. Compared with a traditional complexity index, the method is advantaged in that fault features can be mined more accurately and comprehensively, and early fault diagnosis and damage degree evaluation of the rotating equipment are achieved.

Description

technical field [0001] The invention relates to the field of mechanical equipment signal processing, in particular to a fault severity evaluation method of multi-scale complexity fusion indexes with variable step size. Background technique [0002] The key rotating parts of the equipment, such as bearings and gears, often have harsh working conditions and changeable working conditions, and are prone to failures. If they are not dealt with in time, it may cause equipment shutdown or even catastrophic accidents. Condition monitoring and fault diagnosis are effective ways to realize the safe and reliable operation of rotating equipment. At present, many researchers focus on early fault diagnosis and fault type identification. However, the fault of rotating equipment is a dynamic evolution process, and the evaluation of fault damage degree is an effective and more practical link in fault prediction and health management. Therefore, the damage assessment of rotating equipment i...

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): G06Q10/06G06F17/16G01M13/045
CPCG06Q10/063112G06Q10/06393G06F17/16G01M13/045
Inventor 石娟娟苏舟黄伟国王俊朱忠奎
Owner SUZHOU 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