Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Sliding bearing-rotor system unbalance amount recognition method

A sliding bearing and identification method technology, applied in static/dynamic balance testing, character and pattern recognition, measuring devices, etc., can solve the problems of serious time-consuming, low efficiency, etc. small impact effect

Pending Publication Date: 2018-10-23
HUNAN INSTITUTE OF ENGINEERING
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the above analysis, the present invention aims to provide a sliding bearing-rotor system unbalance identification method to solve the problem that Bayesian theory and MCMC method will generate a large number of sampling points in sampling, and the time-consuming problem is serious when solving the positive problem. , the problem of low efficiency

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
  • Sliding bearing-rotor system unbalance amount recognition method
  • Sliding bearing-rotor system unbalance amount recognition method
  • Sliding bearing-rotor system unbalance amount recognition method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0051]In order to use the sample information of the sliding bearing-rotor system service environment changes, the limitations of test conditions and the uncertain factors in the sliding bearing-rotor system information to reduce the uncertain factors in the application of sliding bearing-rotor dynamic balance Influence on the identification result of unbalanced quantity. On the other hand, the pre-estimation information of the unbalance parameters based on the experience and knowledge of the engineer before the experimental measurement information is obtained is used to improve the recognition accuracy of the unbalance. In this embodiment, Bayesian theory and MCMC method, which can deal with sample information of uncertain factors and prior information of unbalanced quantities, are used to obtain the mean value and confidence interval of unbalanced quantities. Aiming at the computational efficiency of Bayesian theory in the identification of bearing-rotor system unbalance, a m...

Embodiment 2

[0096] In this embodiment, the method in Example 1 is verified through specific experiments,

[0097] First, establish the rotor bearing system model

[0098] Such as figure 2 Shown is the INV1612 rotor test bench as the test model of the method in Example 1. The thickness of the disk is 15mm, and 16 holes are distributed along the circumference at the diameter of 60mm. Screws of different weights can be configured to artificially set the unbalanced mass. Both ends of the rotor are supported by sliding bearings, and their oil film characteristic coefficients are shown in Table 1. The rotational speed is designed to be 2000r / min.

[0099] Table 1 Oil film stiffness and damping coefficient of sliding bearing

[0100]

[0101] Table 2 Midpoints and intervals of uncertain variables

[0102]

[0103] Then, according to the method in embodiment 1, carry out unbalance amount identification;

[0104] In order to avoid errors caused by cross-coupling of the magnetic field o...

Embodiment 3

[0108] After identifying the unbalanced amount of the rotor through the above embodiments, the rotor can be directly dynamically balanced to solve the unbalanced rotor caused by various factors.

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

PropertyMeasurementUnit
Thicknessaaaaaaaaaa
Login to View More

Abstract

The invention relates to a sliding bearing-rotor system unbalance amount recognition method, belongs to the technical field of inverse problems of uncertainty, and aims at solving the problems that the Bayesian theory and an MCMC method need to generate plenty of sampling points in sampling and the solution of forward problems consumes time and is low in efficiency. The method comprises the following steps of: obtaining an unbalance amount prior distribution space, an initial sample and a test unbalance response; solving a cost function and obtaining a posterior joint probability density distribution; calculating a minimum value of the cost function, when the minimum value is greater than convergence precision, updating the prior distribution space and obtaining a new sample by utilizing agenetic intelligent sampling technology so as to calculate the new cost function, and otherwise, recognizing and obtaining an approximate edge posterior probability density distribution of the unbalance amount by adoption of the MCMC method so as to determine a mean value and a confidence interval of the unbalance amount. According to the method, relatively high calculation efficiency can be obtained without sacrificing the calculation precision, and information such as the mean value and the confidence interval of the unbalance amount can be correctly and rapidly recognized.

Description

technical field [0001] The invention relates to the technical field of uncertain inverse problems, in particular to a method for identifying unbalanced quantities of a sliding bearing-rotor system. Background technique [0002] The unevenness of the material of the sliding bearing-rotor system, the deformation caused by the manufacturing and installation process, and the wear and tear during work will all cause the unbalanced vibration of the bearing-rotor system. Using unbalance identification technology to carry out dynamic balance of the shaft system to improve the quality of the rotor and its components, reduce noise and vibration, increase the trial life of the bearing, and ensure the long-term and stable operation of the shaft system. It is often used in the bearing-rotor system. a calibration method. However, due to the diversity and complexity of influencing factors, there are certain errors in the identification results of unbalanced quantities. For the sliding be...

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): G06K9/62G06F17/50G01M1/14
CPCG01M1/14G06F30/20G06F18/29
Inventor 毛文贵李建华王高升
Owner HUNAN INSTITUTE OF ENGINEERING
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com