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Vacuum pump vibration signal noise reduction method based on EEMD (ensemble empirical mode decomposition) and wavelet threshold

A technology of vibration signal and wavelet threshold value, which is applied in character and pattern recognition, measurement of ultrasonic/sonic wave/infrasonic wave, measuring device, etc., can solve problems affecting noise reduction effect, improve signal-to-noise ratio, remove noise signal, reduce The effect of root mean square error

Inactive Publication Date: 2019-08-16
TIANJIN UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, if there are abnormal mutations in the signal, modal aliasing and endpoint effects will occur, which will affect the noise reduction effect

Method used

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  • Vacuum pump vibration signal noise reduction method based on EEMD (ensemble empirical mode decomposition) and wavelet threshold
  • Vacuum pump vibration signal noise reduction method based on EEMD (ensemble empirical mode decomposition) and wavelet threshold
  • Vacuum pump vibration signal noise reduction method based on EEMD (ensemble empirical mode decomposition) and wavelet threshold

Examples

Experimental program
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Embodiment 1

[0102] The simulation analysis of the above vacuum pump vibration signal noise reduction method based on EEMD and wavelet threshold value is carried out: the mathematical model of the original signal and its noise signal is established, and the Blocks wave commonly used in MATLAB noise reduction experiments is used as the simulation signal. Gaussian white noise with a signal-to-noise ratio of 8.2955dB is added to the Blocks wave, the signal sampling rate is 1Hz, and the number of sampling points is set to 1024, as Figure 3a and 3b As shown, it is the simulated Blocks signal and its noise-added signal: where, Figure 3a is the original Blocks signal, Figure 3b is the noisy Blocks signal.

[0103] Perform EEMD decomposition on the noise-added Blocks signal (the number of decompositions M is 150, and the standard deviation k of white noise is 0.5), and a total of 9 IMF components and 1 remainder are obtained, as Figures 4a to 4jShown is the result of EEMD decomposition of t...

Embodiment 2

[0113] An example analysis of the above vacuum pump vibration signal noise reduction method based on EEMD and wavelet threshold value is carried out: the noise reduction method proposed by the present invention is applied to the noise reduction processing of a certain type of vacuum pump vibration data signal. The data acquisition system consists of host computer, NI-USB 6366 data acquisition card, pre-charge amplifier and acoustic emission sensor. In the experiment, the center of the vacuum pump casing is used as the vibration signal collection point for real-time data collection. By setting the sampling rate to 100kHz and the sampling time to 0.5s, the data sampling of the vibration signal of the vacuum pump is performed. The original vibration signal of the vacuum pump is as follows: Figure 7 shown.

[0114] The denoising method based on EEMD and wavelet threshold is used to denoise the noisy vibration signal. After the noise-containing signal is decomposed by EEMD, a to...

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Abstract

The invention discloses a vacuum pump vibration signal noise reduction method based on EEMD (ensemble empirical mode decomposition) and a wavelet threshold; the method comprises the following steps: firstly, an original signal is subjected to EEMD to obtain a plurality of IMF (Intrinsic Mode Function) components and a remainder; secondly, all the IMF components are subjected to calculation of a normalization self-correlation function, and the IMF components are divided into a signal-dominant IMF component and a noise-dominant IMF component according to the characteristic of zero attenuation ofthe self-correlation function; then, the noise-dominant IMF component is subjected to wavelet soft threshold noise reduction processing; finally, the noise-dominant IMF component subjected to waveletsoft threshold processing and the signal-dominant IMF component are subjected to signal reconstruction with the remainder so as to obtain a noise-reduced vacuum pump vibration signal. According to the method in the invention, EEMD is adopted, so that the problems of mode aliasing, end point effect and the like caused by EEMD can be overcome, noise signals in the vacuum pump vibration signals areeffectively removed, more useful signals are well reserved, and the signal-to-noise ratio of the signals is improved.

Description

technical field [0001] The invention relates to vibration signal noise processing technology, in particular to a vacuum pump vibration signal noise reduction method based on EEMD and wavelet threshold. Background technique [0002] In recent years, my country has developed rapidly in the field of aerospace technology, and has successively launched many batches of satellites and space exploration equipment. In order to ensure the smooth operation of spacecraft equipment in complex space environments, ground simulation tests of space environments are required, among which ultra-low temperature and high vacuum are the key requirements for simulation test environments. Vacuum pump is an important equipment for ground space environment simulation, and its failure frequency is high, which will lead to the decline of vacuum pump performance and abnormal noise at low temperature. Therefore, it is necessary to carry out online fault diagnosis on the structure of the vacuum pump to d...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01H17/00G06K9/00
CPCG01H17/00G06F2218/12
Inventor 李一博刘嘉玮樊帆王莉娜綦磊芮小博王晢
Owner TIANJIN UNIV
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