Quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity

A diagnostic method and complex technology, applied in the direction of mechanical bearing testing, measuring devices, testing of mechanical components, etc., can solve problems such as complex internal structure and high failure rate

Inactive Publication Date: 2017-02-15
BEIJING UNIV OF TECH
View PDF1 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As the most important part inside the gearbox, the rolling bearing has a complex internal struc

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
  • Quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity
  • Quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity
  • Quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments of the description

[0021] figure 1 It is a flowchart of the Protrugram algorithm of the present invention. The principle of the fault quantitative diagnosis method will be described in detail below in conjunction with the flow chart.

[0022] Protrugram is a method of optimal frequency band selection based on the kurtosis of the envelope spectrum amplitude of the modulated signal. This method aims to select the optimal center frequency and bandwidth.

[0023] (1) First, FFT is carried out to the measured time signal to obtain its frequency spectrum;

[0024] (2) Secondly, select the bandwidth (the bandwidth is 3 times of the fault characteristic frequency) and the iteration step size (generally 1Hz, 100Hz or 1000Hz);

[0025] (3) Then select an interval [center frequency-bandwidth / 2, center frequency-bandwidth / 2] on the spectrum (real part) i...

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 quantitative inner and outer bearing ring fault trend diagnosis method based on signal complexity. The method comprises steps that Lempel-Ziv complexity is an index for determining signal period components magnitude, Lempel-Ziv complexity index processing on bearing vibration signals with different-position and different-degree faults is carried out, the fault degree and the Lempel-Ziv complexity index value are discovered to be in a certain proportion, Lempel-Ziv complexity represents different gradually-increasing and gradually-decreasing trend rules according to different rolling inner and outer bearing ring fault positions, and thereby quantitative trend diagnosis on the bearing faults can be realized. For extracting the actually-measured vibration signal fault characteristics, a Protrugram algorithm is introduced to be in combination with the Lempel-Ziv complexity index. Through experiment data processing, effects of the quantitative rolling bearing diagnosis method based on Protrugram and Lempel-Zil on quantitative bearing trend diagnosis are verified.

Description

technical field [0001] The invention belongs to the technical field of fault diagnosis, and relates to a quantitative trend diagnosis method for bearing inner and outer ring faults, in particular to a quantitative trend diagnosis method based on Protrugram and Lempel-Ziv. Background technique [0002] With the advancement of science and technology and the development of industry, process industry machinery and equipment are increasingly developing in the direction of large-scale, high-speed, systematization and automation, which requires higher and higher stability of equipment operation status. In order to meet the production requirements, the functions of the key equipment structure are becoming more and more complex. Coupled with the harsh and changeable working environment, it will gradually age during long-term operation, and the potential for failure will increase accordingly. Once the key components of the equipment break down Failure, it may destroy the stable operat...

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): G01M13/04
CPCG01M13/045
Inventor 崔玲丽姚天昌马春青
Owner BEIJING UNIV OF TECH
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