Construction method of morphological filter based on adaptive multi-scale avg-hat transform

A technology of morphological filter and construction method, which is applied in the direction of electrical components, digital technology network, impedance network, etc., has a strong ability to achieve fault impact characteristics, accurate and reliable filtering results, and overcomes the inability to take into account signal noise reduction and detail retention Effect

Active Publication Date: 2019-02-05
SHIJIAZHUANG TIEDAO UNIV
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However, in the prior art, there are no related technical records that can well solve these two key problems.

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  • Construction method of morphological filter based on adaptive multi-scale avg-hat transform
  • Construction method of morphological filter based on adaptive multi-scale avg-hat transform
  • Construction method of morphological filter based on adaptive multi-scale avg-hat transform

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[0042] A method for constructing a morphological filter based on adaptive multi-scale AVG-Hat transformation proposed by the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.

[0043] According to the four basic operations of morphological processing of one-dimensional signals and the characteristics of fault shock characteristics in bearing fault signals, the definition of morphological AVG-Hat transformation and the construction method of morphological AVG-Hat filter are proposed. Such as Figure 1 to Figure 6 As shown, this example describes the method of constructing the morphological filter of the adaptive multi-scale morphological AVG-Hat transformation, and using this method to diagnose the actual fault vibration signal of the outer ring of the rolling bearing.

[0044] The specific process is as follows:

[0045] Step 101: Set the sampling frequency of the acceleration sensor, and collect the faul...

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Abstract

The invention discloses a method for constructing a morphological filter based on adaptive multi-scale AVG-Hat transformation. The implementation steps are as follows: 1. According to the parameter index set by the bearing fault signal, determine the initial multi-scale structure element of the signal 2. Through the morphological expansion operation, construct a set of initial multi-scale structural elements; 3. Calculate the result of the corresponding morphological AVG-Hat transformation of the bearing fault vibration signal under the initial multi-scale structural elements , to construct the set of the results; 4. Through the particle swarm optimization method, select the ratio of the permutation entropy of the filtered bearing fault vibration signal to the sparsity of the envelope spectrum as the evaluation index, and adaptively determine the corresponding initial multi-scale structural elements after filtering 5. According to the weight coefficient, construct the optimal multi-scale morphology AVG-Hat filter. The invention has the advantages of being able to take into account signal noise reduction, fault feature extraction and maintaining the accuracy of filtering results.

Description

technical field [0001] The invention relates to a construction method of a morphological filter based on adaptive multi-scale AVG-Hat transformation, which belongs to the technical field of mechanical fault diagnosis and signal processing. Background technique [0002] In actual engineering, the vibration signal of rolling bearing fault is a typical nonlinear and non-stationary signal, and the fault characteristics in the signal are easily covered by various background noises. Therefore, it is very difficult to diagnose bearing faults under strong background noise. Mathematical morphology is a typical nonlinear signal processing method. It uses specific scale and shape structural elements to fit and modify the local details of the signal time domain waveform. It can effectively eliminate the background while extracting the main waveform features in the signal. noise interference. The key to using morphological methods to process fault signals is to construct a morphological...

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Application Information

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Patent Type & AuthorityPatents(China)
IPC IPC(8): H03H17/02
CPCH03H17/0201H03H17/0211
Inventor邓飞跃杨绍普郭文武潘存治郝如江申永军
OwnerSHIJIAZHUANG TIEDAO UNIV