Bearing fault identification method and system based on EEMD sparse decomposition

A sparse decomposition and fault identification technology, applied in character and pattern recognition, testing of mechanical parts, testing of machine/structural parts, etc., can solve problems such as bearing damage, economic loss, material aging, etc., to achieve denoising and fine-tuning effect of processing

Pending Publication Date: 2021-08-03
YANGTZE UNIVERSITY
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Problems solved by technology

[0002] Large-scale bearings that operate for a long time under harsh working conditions are often under high load, strong high temperature, strong high pressure and high humidity, strong electromagnetic interference and strong coupling. Material aging, high temperature and high pressure, sudden load, and design during operation Defects, especially abnormal vibration factors, will cause irreversible damage accumulation to the bearing
At the same time, because the normal operation of the entire bearing is seriously affected by the fault, and in most cases it is caused by the abnormal operation of certain key parts, this will cause permanent damage to the bearing and also bring huge economic loss

Method used

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  • Bearing fault identification method and system based on EEMD sparse decomposition
  • Bearing fault identification method and system based on EEMD sparse decomposition
  • Bearing fault identification method and system based on EEMD sparse decomposition

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Embodiment Construction

[0023] The principles and features of the present invention will be described below with reference to the accompanying drawings. The examples are only used to explain the present invention, but not to limit the scope of the present invention.

[0024] figure 1 A bearing fault vibration signal feature extraction and identification method provided for an embodiment of the present invention includes the following steps:

[0025] Step 100, acquiring the bearing vibration signal and converting it into an electrical signal y(t).

[0026] Step 200 , adding Gaussian white noise with a certain amplitude to the electrical signal after sparse processing, and performing EMD decomposition on the electrical signal added with the white noise to obtain multiple IMF components and a remainder.

[0027] Step 300: Perform sparse processing on multiple IMF components.

[0028] The process of sparse processing is to use a high-amplitude, low-amplitude dictionary {A h ,A l } Reconstruct the ele...

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Abstract

The invention relates to a bearing fault identification method and system based on EEMD sparse decomposition. The method comprises the steps of firstly obtaining a bearing vibration signal and converting the bearing vibration signal into an electric signal; decomposing the electric signal by using an EMD method to obtain a plurality of IMF components and a remainder; performing sparse processing on the plurality of IMF components; and calculating the energy entropy of the bearing vibration signal by using the IMF component subjected to overall averaging by using the EEMD method, and identifying the fault type of the bearing in combination with the energy distribution condition. The method serves as an effective self-adaptive algorithm and is particularly used for decomposing non-stationary signal processing, and for each independent IMF component, the IMF components have the scale characteristics of the signals and have the characteristic changing along with the scale characteristics of the signals.

Description

technical field [0001] The invention relates to the field of signal and information processing, in particular, to a bearing fault identification method and system based on EEMD sparse decomposition. Background technique [0002] Large bearings that run for a long time in harsh working conditions are often under high load, strong high temperature, strong high pressure and high humidity, strong electromagnetic interference and strong coupling conditions, material aging during operation, high temperature and high pressure, sudden load effect, design Defects, especially abnormal vibration factors, can cause irreversible damage accumulation to the bearing. At the same time, because the normal operation of the entire bearing is seriously affected by the failure, and in most cases, it is caused by the abnormal operation of some key parts, which causes permanent damage to the bearing and also brings huge economic losses. How to ensure the stable, reliable and safe operation of the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01M13/045G06K9/00
CPCG01M13/045G06F2218/08
Inventor 张健宋文广雷鸣林德树
Owner YANGTZE UNIVERSITY
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