Weighted sliding window second-order synchronous compression S transformation bearing fault diagnosis method

A technology of synchronous compression and fault diagnosis, which is applied in the direction of mechanical bearing testing, measuring devices, instruments, etc., can solve the problems of difficulty in meeting production requirements, poor accuracy of identification of bearing fault characteristics and fault types, etc.

Active Publication Date: 2020-08-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF6 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, the traditional spectrum analysis method is not effective in the extraction of bearing fault featur...

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
  • Weighted sliding window second-order synchronous compression S transformation bearing fault diagnosis method
  • Weighted sliding window second-order synchronous compression S transformation bearing fault diagnosis method
  • Weighted sliding window second-order synchronous compression S transformation bearing fault diagnosis method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0036] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments, which are explanations of the present invention rather than limitations.

[0037] The present invention constructs the optimal weighted sliding window according to the characteristics of the bearing fault vibration signal, combines the optimal weighted sliding window algorithm with the second-order synchronous compression S-transform method, and adaptively obtains the fault characteristics during the signal time-frequency analysis process through the optimization algorithm The Gaussian window that best matches the signal, there are multiple variable step size analysis modules inside the sliding window, after time-frequency analysis, the signal is weighted and reconstructed according to the Rényi entropy to obtain a high-resolution time-spectrum diagram, and then realize the bearing fault characteristics Accurate extraction and precise identificat...

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 the field of bearing fault diagnosis, and discloses a weighted sliding window second-order synchronous compression S transformation bearing fault diagnosis method, which is used for improving the precision of bearing fault feature extraction and fault type identification. According to the invention, an optimal weighted sliding window module is constructed according to bearing fault vibration signal characteristics; second-order synchronous compression S transformation is fused into a plurality of step modules, a Gaussian window best matched with a fault feature signalis obtained in a self-adaptive mode in the signal time-frequency analysis process through an optimization algorithm, the weight is calculated through the obtained time-frequency analysis Renyi entropy, and then overall signal reconstruction output is achieved. The bearing fault characteristics are accurately extracted and the fault type is accurately identified through the time-frequency spectrogram, and the method is suitable for rolling bearing fault diagnosis.

Description

technical field [0001] The invention relates to the field of bearing fault diagnosis, in particular to a weighted sliding window second-order synchronous compression S-transformation bearing fault diagnosis method. Background technique [0002] As a key mechanical component of rotating machinery, rolling bearings are widely used in various industrial fields. Its operating status monitoring and fault diagnosis are of great significance to ensure equipment reliability and avoid safety accidents. However, in actual engineering, since the bearing fault characteristic information is often overwhelmed by strong background noise and other unstable components, the extraction of bearing fault characteristic information has become a difficult task. [0003] The time-frequency analysis of signals can describe the frequency information of each fault component changing with time. Common signal time-frequency analysis methods, such as short-time Fourier transform, wavelet transform, and S...

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): G01M13/04G01M13/045G06K9/00
CPCG01M13/04G01M13/045G06F2218/12
Inventor 李福生林荣晔刘治汶靳玉林赵彦春程惠珠
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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