A Bolt Preload Identification Method Based on Singular Value Decomposition and Support Vector Machine

A bolt pre-tightening and singular value decomposition technology, applied in the testing of machine/structural components, measuring torque/torsional force during tightening, measuring devices, etc., can solve the problems of complex measurement process, easy environmental impact and high processing cost , to achieve the effect of improving signal quality, improving robustness and improving accuracy

Active Publication Date: 2020-07-14
DALIAN UNIV OF TECH
View PDF11 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In view of the problems referred to above, the object of the present invention is to provide a kind of preload identification method that combines the singular value decomposition feature extraction method and support vector machine for the vibration signal of the connecting structure, that is, based on the vibration signal singular value decomposition and support vector machine Bolt pre-tightening force identification method to solve the problems of existing bolt pre-tightening force identification methods in practical engineering applications such as high processing cost, easy to be affected by the environment, complex measurement process, and weak adaptability

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 Bolt Preload Identification Method Based on Singular Value Decomposition and Support Vector Machine
  • A Bolt Preload Identification Method Based on Singular Value Decomposition and Support Vector Machine
  • A Bolt Preload Identification Method Based on Singular Value Decomposition and Support Vector Machine

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0037] The specific implementation manner of the present invention will be further described below in conjunction with the accompanying drawings and technical solutions.

[0038] A bolt pretightening force identification method based on vibration signal singular value decomposition and support vector machine, including two parts: experimental test and data analysis and processing:

[0039] Step 1: If figure 1 As shown in Fig. 1, the experiment is carried out with the single-bolt connection beam as the research object, and the vibration signal is collected.

[0040] Step (1.1): If figure 1As shown, the left beam 4 and the right beam 8 are connected by the pretightening force of M10 bolts 2 and M10 nuts 3 of grade 12.9. The bolt pretightening force set for the first time in this experiment is 20N·m. Use a torque wrench to tighten the bolts and let it stand for 10 minutes each time to stabilize the pre-tightening force of the bolts and avoid short-term relaxation of the pre-tig...

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 provides a bolt pre-tightening force identification method based on singular value decomposition and a support vector machine, and belongs to the technical field of vibration signal fault detection. The invention provides a bolt pre-tightening force measuring method based on a vibration signal in order to solve the problems that the pre-tightening force of a bolt is reduced and eventhe bolt is separated and falls off due to the fact that mechanical environments such as impact and vibration generated in the operation process of mechanical equipment. The method comprises the stepsof collecting an impact vibration signal of a single bolt connecting beam in a free state through DASP modal analysis software; carrying out empirical mode decomposition and reconstruction on the experimental data to remove noise and trend terms; carrying out feature dimension reduction by combining singular value decomposition, and extracting a vibration signal feature vector; and taking the vibration signal feature vector as an input feature, performing classifier model training through the support vector machine, and finally realizing pre-tightening force identification of the bolt connecting structure by using the trained classifier.

Description

technical field [0001] The invention relates to a bolt pretightening force identification method based on singular value decomposition and support vector machine, and belongs to the technical field of vibration signal fault detection. Background technique [0002] Bolted connection structures are widely used in various engineering structures, and their connection status directly affects the safety and reliability of the entire structure. The pre-tightening force is one of the most important parameters for the bolted connection structure, and how to accurately control the pre-tightening force of the bolted connection structure is an urgent problem to be solved, both in the theoretical research process and in the practical engineering application. Precise control of preload force can be generally divided into two steps. First, accurate identification of bolt preload force is required, followed by accurate control of preload force. [0003] The existing bolt pretightening forc...

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 Patents(China)
IPC IPC(8): G01M7/02G01L5/24
CPCG01L5/246G01M7/025
Inventor 孙清超齐艳华赵斌斌袁博张超
Owner DALIAN 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