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Method for diagnosing faults of bearings on basis of multi-scale symbolic dynamics entropy

A kind of fault diagnosis and dynamics technology, which can be used in mechanical bearing testing, mechanical component testing, machine/structural component testing, etc. It can solve problems such as unclear fault characteristics, non-stationary and nonlinear signals, etc.

Inactive Publication Date: 2018-05-04
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0006] The technical problem solved by the present invention is: In order to solve the problem that the non-stationary nonlinearity of the signal in the mechanical system causes the fault characteristics to be not obvious, the present invention proposes a signal feature extraction method based on multi-scale symbolic dynamics and entropy

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  • Method for diagnosing faults of bearings on basis of multi-scale symbolic dynamics entropy
  • Method for diagnosing faults of bearings on basis of multi-scale symbolic dynamics entropy
  • Method for diagnosing faults of bearings on basis of multi-scale symbolic dynamics entropy

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Embodiment Construction

[0042] see figure 1 , a signal feature extraction method based on multi-scale symbol dynamics and entropy, including the following steps:

[0043] Step 1. For a given time series Y{y(i'), i'=1,2,...,N}, where i' represents the value of the time series corresponding to a certain moment, according to the method of coarse-grained segmentation, Transform the original time series into a multi-scale time series X{x(i),i=1,2,...,N 0},in N represents the length of the time series, τ is the scale factor (recommended τ value range: 1-20;

[0044]Step 2. The obtained multi-scale time series X{x(i),i=1,2,...,N 0}, where i represents the value corresponding to the sub-time series at time i, N 0 Indicates the length of the sub-time series after division, and converts it into a symbolic sequence (symbolization), that is, the time series in step 1 is represented by the symbol σ, thus forming a symbolic sequence Z{z(k),k=1,2,...,N 0}, z(k) represents the symbol σ corresponding to the kth...

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Abstract

The invention provides a method for diagnosing faults of bearings on the basis of multi-scale symbolic dynamics entropy. The method has the advantages that concepts of multiple scales, symbolic dynamics and entropy are combined with one another, the time sequence complexity can be quantitatively measured by symbolic dynamics entropy, the symbolic dynamics entropy is an important nonlinear featureof a time sequence, and entropy values can change along with change of system states; concepts of multi-scale entropy are utilized, the symbolic dynamics entropy on different scales is computed, and accordingly the complexity of signals can be measured from different time scales; the multi-scale symbolic dynamics entropy is applied to diagnosing the faults of the rolling bearings, fault information of the rolling bearings can be extracted by the aid of the multi-scale symbolic dynamics entropy, the method is combined with classifiers, and accordingly three different fault types of the rollingbearings can be accurately identified.

Description

technical field [0001] The invention relates to the field of digital signal processing. Background technique [0002] Austrian physicist Boltzmann linked entropy with the number of microscopic states compatible with each macroscopic state, and made a microscopic explanation for entropy, which is the famous Boltzmann formula. The Boltzmann relation not only explains the physical meaning of the microscopic state number, but also gives the statistical interpretation (microscopic meaning) of the entropy function. It can be seen from this formula that the size of entropy is determined by the number of microstates corresponding to this state, and the increase of entropy means the increase of the number of microstates contained in the system. The number of micro-states representing the size of the particle can be explained by the concept of the degree of chaos (disorder) of the particle distribution in space. The more concentrated the particles, the greater the number density, tha...

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Application Information

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IPC IPC(8): G01M13/04
CPCG01M13/045
Inventor 李永波马存宝黄怡
Owner NORTHWESTERN POLYTECHNICAL UNIV
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