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Air floatation plate vibration signal processing method based on empirical mode decomposition

An empirical mode decomposition and vibration signal technology, which is applied to measuring devices, instruments, and measuring ultrasonic/sonic/infrasonic waves, etc., can solve problems affecting time-domain results and achieve the effect of improving signal-to-noise ratio and removing noise

Active Publication Date: 2019-09-06
CHANGZHOU UNIV
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Problems solved by technology

[0003] However, the screening of the eigenmode components obtained by empirical mode decomposition in the Hilbert-Huang transform needs to consider the actual situation, and if the noise in the eigenmode components is not denoised, it will directly affect the time domain result

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  • Air floatation plate vibration signal processing method based on empirical mode decomposition
  • Air floatation plate vibration signal processing method based on empirical mode decomposition
  • Air floatation plate vibration signal processing method based on empirical mode decomposition

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Embodiment Construction

[0030] The present invention is described in further detail now in conjunction with accompanying drawing. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0031] like Figure 1 to Figure 7 As shown, a vibration signal processing method of air floating plate based on empirical mode decomposition, including the following steps:

[0032] a. Use hot-melt pressure-sensitive adhesive double-sided tape to paste the wireless acceleration sensor model BWT901CL horizontally on the center of the air floatation board. Perform acceleration calibration on the computer side in a static state, turn on the fan, and the wind in the fan passes through pipes and holes. The plate is blown to the air-floating plate, and the air-floating plate is floating up and down. After stabilization, the data is recorded. The sampling frequency ...

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Abstract

The invention relates to an air floatation plate vibration signal processing method based on empirical mode decomposition. The air floatation plate vibration signal processing method comprises the following steps: acquiring vibration acceleration data of an air floatation plate; performing Fourier transform on the acceleration data to be converted into a frequency domain and performing quadratic integral, and then performing inverse transformation to be converted into a time domain and obtaining vibration displacement data; performing empirical mode decomposition, obtaining multiple intrinsicmode functions and a residual error, and according to characteristics of the air floatation plate, screening a first intrinsic mode function as a vibration mode function of the air floatation plate; performing wavelet thread denoising on the vibration mode function of the air floatation plate; and performing Hilbert spectral analysis and Hilbert marginal spectral analysis on a denoised signal. Thevibration signal processing method provided by the invention can effectively denoise, and a signal-to-noise ratio is increased.

Description

technical field [0001] The invention relates to the technical field of vibration signal processing, in particular to a vibration signal processing method of an air floating plate based on empirical mode decomposition. Background technique [0002] In the prior art, there are three main vibration signal processing methods: the first one is to amplify and filter the collected acceleration signal, and then perform Fourier transform to extract the characteristic frequency value, but time will be lost in the process of Fourier transform components, only the frequency-amplitude relationship can be obtained but not the time-frequency relationship, and the instantaneous frequency cannot be known, so it is only suitable for stationary random processes; the second is the recently developed wavelet transform, which is the acceleration signal collected Perform wavelet analysis and filtering. Wavelet transform can obtain the time-frequency relationship of the data, and can adapt to chang...

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Application Information

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IPC IPC(8): G01H17/00
CPCG01H17/00
Inventor 丁建宁蔡婷婷朱科钤袁宁一李美香吴逸君
Owner CHANGZHOU UNIV
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