Ultrahigh frequency noise assisted empirical mode decomposition (EMD) method

An Empirical Mode Decomposition and noise-assisted technology, which is applied to the testing of measuring devices, instruments, and mechanical components, can solve the problems of large amount of calculation, increasing the number of IMF extraction and screening, and the ability to separate multiple transient components with residual noise. , to achieve the effect of small calculation amount and strong separation ability

Active Publication Date: 2019-10-18
JIANGSU KTK LOCOMOTIVE & ROLLING STOCK
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Problems solved by technology

[0009] The present invention aims to solve the above defects, and provides a UHF noise-assisted empirical mode decomposition method, which aims at the problems of large amount of calculation, residual noise and poor separation ability of multiple transient components in the EEMD method. EMD processing is performed after adding ultra-high frequency noise at one time, and the number of screening times during IMF extraction is increased by using the characteristics of ultra-high frequency noise extreme points, so as to separate multiple transient components adjacent to the frequency spectrum

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  • Ultrahigh frequency noise assisted empirical mode decomposition (EMD) method
  • Ultrahigh frequency noise assisted empirical mode decomposition (EMD) method
  • Ultrahigh frequency noise assisted empirical mode decomposition (EMD) method

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[0024] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0025] The existing EEMD method adds the highest frequency to the signal multiple times, which is the white noise of the highest frequency of the signal, and uses ensemble averaging to remove the residual noise in IMFs. The more the number of ensembles, the greater the amount of calculation, and the finite number of ensemble averages cannot completely remove the residual noise, nor can it solve the problem of separating multiple transient components adjacent to the spectrum.

[0026] Therefore, the present invention discloses a UHF noise-assisted empirical mode decomposition method, which adds nois...

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Abstract

The invention relates to the technical field of mechanical fault diagnosis, and particularly relates to an ultrahigh frequency noise assisted empirical mode decomposition (EMD) method. Ultrahigh frequency noise is added once to perform EMD treatment, the number of screening times is increased when intrinsic mode function (IMF) is extracted by using the characteristic that the ultrahigh frequency noise has many extreme points, and thus a plurality of transient components close to separation frequency spectrum are separated. As the UNEMD is only subjected to EMD once, the calculation amount is relatively small; and the ultrahigh frequency noise is added, so that the acquired IMFs do not include residual noise.

Description

technical field [0001] The invention relates to the technical field of mechanical fault diagnosis, in particular to an ultra-high frequency noise-assisted empirical mode decomposition method. Background technique [0002] Rolling bearings are common parts of rotating machinery and equipment, and they are also vulnerable parts. If the rolling bearing failure is allowed to develop, it will damage other connected components, or even the entire mechanical system, which may eventually cause huge economic losses and adverse social impacts on production or life. Therefore, it is of great significance to the condition monitoring and fault diagnosis of rolling bearings. After the rolling bearing fails, the roller will periodically collide with the faulty part when it rotates. This periodic signal will modulate the resonance frequency of the mechanical system, and it will appear as a periodic transient component in the vibration time domain signal. , appear as equally spaced resonan...

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Application Information

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IPC IPC(8): G01M13/045
CPCG01M13/045
Inventor 王俊胡丽敏朱忠奎缪燕瑾吴英浩
Owner JIANGSU KTK LOCOMOTIVE & ROLLING STOCK
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