A rotary machine fault feature extraction method based on vibration signal correlation analysis

A correlation analysis and vibration signal technology, applied in computer parts, measuring devices, instruments, etc., can solve the problem of difficulty in extracting fault features of rotating machinery and equipment, and achieve the effect of simple and easy method.

Active Publication Date: 2019-06-28
ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention overcomes the difficulty in extracting fault features of rotating machinery equipment in the prior art and the shortcomings of existing methods, and proposes a method for extracting fault features of rotating machinery based on correlation analysis of vibration signals

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 rotary machine fault feature extraction method based on vibration signal correlation analysis
  • A rotary machine fault feature extraction method based on vibration signal correlation analysis
  • A rotary machine fault feature extraction method based on vibration signal correlation analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] The present invention will be further described below in conjunction with drawings and embodiments.

[0025] refer to figure 1 , a rotating machinery fault feature extraction method based on vibration signal correlation analysis, including the following steps:

[0026] (1) Collect a group of vibration signals y(k) with a length of L on the rotating mechanical equipment, where k=1, 2,...,L;

[0027] (2) Randomly select a time point k=k in the vibration signal y(k) 0 , starting from this point to intercept a section of length L s The reference sub-signal y of s (k s ), where L s s =1,2,...,L s , and the reference sub-signal y s (k s )=y(k d ), where k d =k 0 ,k 0 +1,...,k 0 +L s -1;

[0028] (3) Let the reference sub-signal y s (k s ) starts from the initial time point k=1 of the vibration signal y(k), and translates point by point along the time axis direction where k increases;

[0029] (4) At time point k=k t where 1≤k t ≤L-L s , the reference sub-...

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 rotary machinery fault feature extraction method based on vibration signal correlation analysis comprises the following steps: firstly, acquiring a vibration signal on rotary machinery equipment,and selecting a section of reference sub-signal from the vibration signal; enabling the reference sub-signal to perform point-by-point translation along the time axis direction from the initial time of the vibration signal, continuously shielding a section of sub-signal from the vibration signal, and calculating a correlation coefficient between the reference sub-signal and the shielding sub-signal at the same time; obtaining a correlation coefficient sequence after translation is finished; and finally extracting the fault characteristic frequency from the frequency spectrum of the correlationcoefficient sequence. The method is simple and easy to implement, the correlation coefficient sequence is adaptive to the characteristics of the original vibration signal in the obtaining process, the change rule of the fault characteristics of the rotary mechanical equipment can be visually displayed, and the fault characteristic frequency can be effectively and conveniently extracted from the frequency spectrum of the correlation coefficient sequence and used for fault diagnosis of the rotary mechanical equipment.

Description

technical field [0001] The invention relates to a method for extracting fault features of rotating machinery based on vibration signal correlation analysis. Background technique [0002] Regular shock vibration is a typical feature of fault damage to internal components of rotating machinery, and the frequency of this shock feature is directly related to the specific fault state of rotating machinery. However, due to the fact that there are usually many components in the equipment, there is a certain attenuation in the process of fault shock vibration being transmitted from the fault-damaged vibration source to the equipment surface along a complex path. In addition, other moving elements in the equipment will also excite corresponding vibrations. Coupled with the interference of working environment noise, the fault impact characteristics that vibration sensors can measure on the equipment are usually relatively weak, especially in the early stage of equipment failure and da...

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): G06K9/00G01H17/00
Inventor 郭远晶杨友东林森宋士刚
Owner ZHEJIANG COLLEGE OF ZHEJIANG UNIV OF TECHOLOGY
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