Rolling bearing fault diagnosis method based on calculation order tracking and spectral kurtosis

A technology for fault diagnosis and rolling bearings, which is applied in the field of vibration monitoring and equipment operation monitoring

Inactive Publication Date: 2020-06-19
CHINA PETROLEUM & CHEM CORP +2
View PDF3 Cites 28 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This also brings challenges to the application of traditional spectrum analysis in rolling 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
  • Rolling bearing fault diagnosis method based on calculation order tracking and spectral kurtosis
  • Rolling bearing fault diagnosis method based on calculation order tracking and spectral kurtosis
  • Rolling bearing fault diagnosis method based on calculation order tracking and spectral kurtosis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] The principle, specific implementation and test verification of the rolling bearing fault diagnosis method based on calculation order tracking and spectral kurtosis of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0024] figure 1 It is a flow chart of the rolling bearing fault diagnosis method based on calculation order tracking and spectral kurtosis of the present invention. The specific implementation steps are as follows: (1) According to the formula 4.16, the time-domain vibration signal is decomposed and filtered in tree form, and the signals of each frequency band are obtained Calculate the spectral kurtosis by formula 4.17, draw the spectral kurtosis diagram, and finally get the center frequency f of the optimal filtering bandwidth according to 4.18 c , optimal bandwidth B w (2) according to the optimal demodulation bandwidth obtained in step 1, the time-domain vibration signal is band-pass filtered, a...

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 relates to a rolling bearing fault diagnosis method based on calculation order tracking and spectral kurtosis, and the method comprises the following steps: (1), carrying out tree-shapeddecomposition filtering of a time domain vibration signal, obtaining a signal of each frequency band, calculating the spectral kurtosis, drawing a spectral kurtosis graph, and obtaining the central frequency and optimal demodulation bandwidth of the optimal demodulation bandwidth of filtering through calculation; (2) performing band-pass filtering on the time domain vibration signal according tothe optimal demodulation bandwidth, and performing Hilbert envelope demodulation on the filtered signal to obtain an envelope signal containing fault impact; (3) setting a rotating speed pulse threshold value, obtaining a pulse generation moment, solving an angle domain time quadratic equation coefficient, and solving an angle domain stable signal; and (4) performing fast Fourier transform on theangular domain stationary signal, setting a sampling frequency as an angular domain sampling rate, and obtaining a fault diagnosis conclusion. The method can effectively extract bearing fault featureorder components under variable working conditions.

Description

technical field [0001] The invention relates to the technical field of equipment operation monitoring and vibration monitoring, in particular to the monitoring and fault diagnosis of rolling bearings. Background technique [0002] Rolling bearings, as one of the important parts of rotating machinery, are used to support the rotating shaft and its load and components, and maintain the rotation accuracy and working position of the shaft. Rolling bearings are vulnerable parts. According to incomplete statistics, about 30% of the failures of rotating machinery are caused by the failure of rolling bearings. Therefore, it is of great significance to carry out condition monitoring and fault diagnosis of rolling bearings. [0003] The working conditions of rolling bearings can be divided into stable working conditions and variable working conditions according to the degree of speed change. When the speed of the bearing is stable or slightly fluctuating, it can be regarded as being...

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): G01M13/045G06K9/00G06T7/00G06T5/10G06T5/20
CPCG01M13/045G06T7/0008G06T5/10G06T5/20G06T2207/20024G06T2207/20056G06T2207/30108G06F2218/02G06F2218/12G06F2218/08
Inventor 田中山赖少川高晖林武斌杨昌群石保虎江志农
Owner CHINA PETROLEUM & CHEM CORP
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