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Rolling bearing degradation state stage determination method

A technology for rolling bearings and determination methods, which is applied in the testing of measuring devices, instruments, and mechanical components, etc., can solve the problem that the permutation entropy cannot be set, and achieve fast calculation speed and good results

Active Publication Date: 2019-10-15
FOSHAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The permutation entropy algorithm is a representative method for calculating the complexity of vibration time series signals, but because the mechanical system is generally in a variety of different working conditions, it is necessary to set the parameters of the health index according to the actual conditions for calculation, and Ordinary permutation entropy cannot be set according to conditions

Method used

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  • Rolling bearing degradation state stage determination method

Examples

Experimental program
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Effect test

Embodiment 1

[0032] Please refer to figure 1 , A method for determining the stage of the degraded state of a rolling bearing, including the following steps:

[0033] Step 1: Collect the vibration signal that characterizes the stable working state of the rolling bearing and de-noise processing to obtain a useful signal sequence that can specifically characterize the stable working state of the rolling bearing;

[0034] Step 2: Calculate the multi-scale Tsallis permutation entropy value for the useful signal sequence obtained in Step 1, to obtain the health state index time series;

[0035] Step 3: Calculate the average value and variance value according to the health status index time series obtained in step 2;

[0036] Step 4: Calculate the alarm threshold value according to the average value and variance value obtained in Step 3, and identify the starting time point of the rolling bearing degradation stage according to the change trend of the time series composed of the entropy value of the multi-...

Embodiment 2

[0051] In order to further describe the method for determining the degraded state of a rolling bearing according to the present invention, in step 2, the calculation method of the entropy value of the multi-scale Tsallis arrangement is:

[0052] Select the entropy index q and the time scale s, for the vibration time series obtained from the kth time point test {x k (i),i=1,2,...,r}, according to the formula Construct sub-time series Where N=[r / s] means taking an integer for r / s, s means time scale, and the length of the sub-time series is N=[r / s];

[0053] Determine the embedding dimension m and the time delay τ, for the time series y s (j), j=1, 2,..., N performs phase space reconstruction as follows:

[0054]

[0055] Then any Y s The m real numbers in (i) can be arranged in increasing order as follows:

[0056] y s (j+(k 1 -1)τ)≤y s (j+(k 2 -1)τ)≤…≤y s (j+(k m -1)τ)

[0057] If Y s (j) Medium y s (j) have the same value, for example y s (j+(k m-1 -1)τ)=x ij (j+(k m -1)τ), and thei...

Embodiment 3

[0062] On the basis of Example 1 and Example 2, the following will test a method for determining the stage of rolling bearing degradation. Please refer to Figure 1 to Figure 4 And the following five steps.

[0063] 1. Acquisition and processing of time series signal of vibration acceleration of mechanical system.

[0064] In order to realize the trend prediction of the degradation state of the mechanical system and the feasibility of this method, based on the full life cycle experiment of rolling bearings, a set of vibration acceleration time series signals are collected every 5 minutes, and the length of each set of time series signals is 4096, a total of 530 sets of time series signals are collected, and the above-mentioned signals are collected to form a mat file, and the adaptive 2-layer wavelet method is used in Matlab for denoising.

[0065] 2. Multi-scale Tsallis permutation entropy.

[0066] For the vibration acceleration time series signal x measured at the kth moment k (1)...

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Abstract

The invention provides a rolling bearing degradation state stage determination method, which comprises the following steps: 1, vibration signals representing a stable working state of the rolling bearing are collected and denoised to obtain a useful signal sequence capable of specifically representing a stable working state of the rolling bearing; 2, a multi-scale Tsallis permutation entropy valueof the useful signal sequence is calculated to obtain a health state index time sequence; 3, based on the health state index time sequence, an average value and a variance value are calculated; and 4, an alarm threshold is calculated according to the average value and the variance value, a time sequence change trend is formed according to the multi-scale Tsallis permutation entropy value, and thestarting time point for the rolling bearing degradation stage is recognized. By using the multi-scale Tsallis permutation entropy, the entropy index can be adjusted to adapt to the condition monitoring ability of the mechanical system under various conditions and well sense the mechanical system state change ability, determination of the rolling bearing degradation state stage is realized, the recognition effects are good, and the calculation speed is quick.

Description

Technical field [0001] The present invention relates to the technical field of mechanical system condition monitoring and life assessment, and in particular to a method for determining the stage of the degraded state of a rolling bearing. Background technique [0002] At this stage, many mechanical system degradation state identification and evaluation methods in my country are mainly through data-driven vibration online monitoring methods, which have been widely used in the state monitoring and fault diagnosis of rotating machinery. The existing method for measuring the complexity of vibration signal based on information entropy and calculating its health index has good calculation efficiency, and can quickly perceive the rapid change of the dynamic behavior of the object system from the vibration time series. The permutation entropy algorithm is a representative method for calculating the complexity of the vibration time series signal. However, because the mechanical system is ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/045
CPCG01M13/045
Inventor 蒋勉卢清华何宽芳黄勇
Owner FOSHAN UNIVERSITY
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