Method for quantitatively identifying rolling bearing damage

A rolling bearing, quantitative identification technology, applied in the direction of measuring devices, special data processing applications, instruments, etc., can solve the problems that are not suitable for identifying early damage faults of rolling bearings, and it is difficult to fully extract fault information features

Inactive Publication Date: 2006-08-02
XI AN JIAOTONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is difficult for the resonance demodulation technology to fully extract the fault information features hidden in each modulation frequency band of the vibration signal.
Resonance demodulation technology has a certain effect on the identification of late serious damage faults of rolling bearings, but it is not suitable for identifying early damage faults of rolling bearings

Method used

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  • Method for quantitatively identifying rolling bearing damage
  • Method for quantitatively identifying rolling bearing damage
  • Method for quantitatively identifying rolling bearing damage

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0123] Construct the impulse response simulation signal x(t) of two carrier centers of a modulation source to simulate the response signal of a rolling bearing with an outer ring fault and multiple carrier centers:

[0124] x ( t ) = Σ i = 1 42 ( e - ζ 2 πf 1 ( t - i / f ou ) sin 2 πf 1 ( t - i / ...

Embodiment 2

[0131] In order to verify the correctness of the method described in this paper, early damage faults of the outer ring of rolling bearings were set up on the rolling bearing test bench. The model of the rolling bearing is 552732QT, and its parameters are as follows: the inner diameter is 160mm, the outer diameter is 290mm, the roller diameter is 34mm, and the number of rollers is 17. During the test, the shaft rotation frequency of the test bench is 515r / min.

[0132] The sampling frequency is set to 12800Hz, the number of sampling points is 8192, Figure 5 (a) is the rolling bearing vibration signal collected from the rolling bearing test bench, the rolling bearing vibration signal is subjected to Hilbert envelope demodulation, and the decibel value of the envelope spectrum is obtained as Figure 5 (b) shown.

[0133] The rolling bearing vibration signal is decomposed and reconstructed by three layers of second-generation wavelet packets, and the reconstructed signals of ei...

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Abstract

The present invention discloses a method for quantitatively identifying rolling bearing damage. Said method includes the following steps: making rolling bearing vibration signal undergo the process of second generation small wave packet decomposition; then respectively reconstructing decomposed signal of every frequency band; utilizing Hilbert conversion and demodulation to analyze every frequency band signal to obtain envelope spectrum correspondent to frequency band signal; calculating decibel value of envelope spectrum magnitude correspondent to rolling bearing failure characteristic frequency in every frequency band, extracting maximum value of decibel value correspondent to failure characteristic frequency in every frequency band, then quantitatively identifying rolling bearing early damage condition.

Description

technical field [0001] The invention belongs to the field of early failure prediction of mechanical equipment, and in particular relates to a quantitative identification method for early damage of rolling bearings. Background technique [0002] Rolling bearings are the most widely used mechanical parts in rotating machinery, and they are also one of the most vulnerable components. Rolling bearings may be damaged due to various reasons during operation, such as improper assembly, poor lubrication, moisture and foreign matter intrusion, corrosion and overload, etc. may cause premature damage to rolling bearings. Even if the installation, lubrication and maintenance are normal, after a period of operation, the rolling bearing will suffer from fatigue, peeling and wear and cannot work normally. Therefore, it is an important research direction in the field of fault diagnosis to quantitatively identify rolling bearing faults, accurately determine the severity of damage, and preve...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N19/08G06F19/00
Inventor 何正嘉訾艳阳姜洪开陈雪峰
Owner XI AN JIAOTONG UNIV
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