Vibration signal-based mechanical link looseness detection and early warning method

A vibration signal and mechanical technology, applied in the fields of diagnosis and failure monitoring of mechanical equipment, can solve problems such as frequency ambiguity, achieve timely maintenance or replacement, avoid major accidents, and achieve the effect of friendly human-machine interface

Inactive Publication Date: 2018-07-27
江苏新道格自控科技有限公司
View PDF5 Cites 6 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In the existing technology, when mechanical equipment fails during operation, the collected signals are generally nonlinear and non-Gaussian signals, and the direct Fourier transform of the collected signals will produce "frequency ambiguity" phenomenon

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
  • Vibration signal-based mechanical link looseness detection and early warning method
  • Vibration signal-based mechanical link looseness detection and early warning method
  • Vibration signal-based mechanical link looseness detection and early warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0046] A method for detecting and pre-warning mechanical link looseness based on vibration signals. By collecting the vibration signal of the vibration device of the mechanical link, the loose condition of the mechanical link is judged and the warning information is given.

[0047] In this embodiment, as figure 1 As shown, the system for implementing the vibration signal-based mechanical link loosening detection and early warning method includes a signal acquisition module 1, a signal processing module 2, a wireless transmission module 3, a background server 4 and a display terminal 5. The signal acquisition module 1, The signal processing module 2, the wireless transmission module 3, the background server 4 and the display terminal 5 are connected in sequence. The wireless transmission module 3 is a GPRS module. The display terminal 5 is a desktop computer, and the display terminal 5 is provided with a communication module 501 for receiving the actual operating status and earl...

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 vibration signal-based mechanical link looseness detection and early warning method. According to the method, the looseness condition of a mechanical link piece is judged bycollecting the vibration signals of the vibration device of the mechanical link piece, and then the early-warning information is given. The method comprises the following steps: step 1, constructing amechanical link looseness detection and early warning system based on vibration signals; step 2, acquiring the vibration signal of the mechanical link piece; step 3, processing the vibration signal to obtain the morphological gradient spectral entropy of the vibration signal, and then judging the operation state of the mechanical link piece; step 4, carrying out the performance degradation analysis of the mechanical link piece according to the information in the preceding steps, comprehensively evaluating the health condition of the mechanical link piece, and giving the early-warning information. The method provided by the invention is used for carrying out real-time and on-line monitoring and early warning analysis on the running state of the mechanical link. Therefore, the reliability and the safety of the operation of the mechanical link piece are improved. The better implementation performance is achieved.

Description

Technical field [0001] The invention relates to the field of mechanical equipment fault monitoring and diagnosis, in particular to a method for detecting and early warning of mechanical link loosening based on vibration signals. Background technique [0002] The structure of modern mechanical equipment is becoming more and more complex, the functions are becoming more and more perfect, and the degree of automation is getting higher and higher. However, when mechanical equipment fails, the degree of impact is also significantly increased, sometimes not only causing huge economic losses, but also often causing catastrophic accidents. Therefore, it is imperative to strengthen the state monitoring of mechanical equipment, develop the state monitoring and fault diagnosis technology of mechanical equipment, and carry out effective and reasonable implementation. It is possible to grasp the state change law and development trend of mechanical equipment, prevent accidents before they occu...

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): G01M13/00G01H17/00G06K9/62G06N5/04
CPCG06N5/048G01H17/00G01M13/00G06F18/251
Inventor 魏懿何晓琳杨菲吴广陈志强江冰蔡昌春承敏钢
Owner 江苏新道格自控科技有限公司
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