Instantaneous frequency stability based SWT logistics equipment vibration signal noise reduction method

An instantaneous frequency and vibration signal technology, applied in the field of signal noise reduction, can solve problems such as the dependence of the noise reduction effect on wavelet base and threshold selection, unspecified threshold, aliasing phenomenon and breakpoint effect

Active Publication Date: 2018-06-12
NORTHEAST FORESTRY UNIVERSITY +2
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  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, with the development of the economy and the improvement of modernization, logistics gradually occupies an important position in society. Logistics machinery and equipment are the foundation and key to the development of logistics operations. Efficient and safe logistics equipment can improve the operational efficiency and technical level of logistics. Transmission equipment As an indispensable part of logistics machinery and equipment, due to long-term frequent use, there will be problems such as deviation and wear, which will reduce the accuracy of material transmission and increase operational risks; therefore, how to ensure its safe and reliable operation is the key to the safety and efficiency of the entire logistics The key to the operation, at present, the transmission equipment fault diagnosis method based on vibration signal analysis has the characteristics of real-time and easy installation, and has been widely used in logistics machinery testing. However, the vibration signals collected in actual engineering applications contain a lot of noise. The effective information that can reflect the fault characteristics in the signal becomes very weak, so how to effectively suppress noise and improve the signal-to-noise ratio is the prerequisite and necessary link for fault detection based on vibration signals;
[0003] Aiming at the noise reduction problem of non-stationary signals, scholars at home and abroad have carried out a lot of in-depth research, which can be roughly divided into methods based on Fourier transform, wavelet transform and Ensemble Empirical Mode Decomposition (EEMD); these Each method has its own advantages and disadvantages. Among them, t

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  • Instantaneous frequency stability based SWT logistics equipment vibration signal noise reduction method
  • Instantaneous frequency stability based SWT logistics equipment vibration signal noise reduction method
  • Instantaneous frequency stability based SWT logistics equipment vibration signal noise reduction method

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Effect test

Embodiment 1

[0063] A method for noise reduction of vibration signals based on instantaneous frequency stability SWT logistics equipment, comprising: a vibration acceleration sensor, the vibration acceleration sensor 4 is connected to the outer ring of the bearing 5, and the vibration acceleration sensor is connected to the The upper computer acquisition terminal 6, the bearing is installed on the transmission roller shaft 7, one end of the transmission roller shaft is connected to the gearbox 8, the other end is connected to the transmission roller 3, the transmission roller is connected to the drive motor 9, and the The transmission roller is wrapped with a conveyor belt 2, and the conveying item 1 is placed on the conveyor belt; the simultaneous extrusion wavelet transform includes the following specific steps:

[0064] Usually, traditional time-varying signals can be expressed as a superposition of multiple harmonic signals, namely

[0065] Signal Can be expressed as: ;in, is the...

Embodiment 2

[0082] According to the method for reducing noise based on the instantaneous frequency stability SWT logistics equipment vibration signal described in Embodiment 1, the specific flow of the algorithm is as attached figure 1 As shown; the algorithm first performs SWT decomposition on the original signal to obtain different intrinsic modal components; then uses the Hilbert transform to solve it to obtain the instantaneous frequency, and then realizes the discrimination of true and false components according to the value of the corresponding interquartile range, if the If the value is greater than the threshold, it is identified as a noise component and eliminated, and finally the remaining intrinsic modal components are reconstructed to achieve the purpose of noise reduction; in order to prevent the signal from being incompletely decomposed, the judgment of the residual is based on autocorrelation Function kurtosis threshold method (general signal and white noise signal autocorre...

Embodiment 3

[0084] According to the method for reducing noise based on the instantaneous frequency stability SWT logistics equipment vibration signal described in Embodiment 1, the described synchronous extrusion wavelet transform is different from the traditional wavelet transform, here in conjunction with the attached Figure 5 And attached Figure 6 Be explained;

[0085] The result of traditional wavelet transform will diverge near the instantaneous frequency, resulting in the time-frequency spectrum becoming very blurred; in this paper, the signal Take the traditional wavelet transform and synchrosqueezing wavelet transform as an example and perform time-frequency analysis on them; the algorithm parameters are set as follows: Morlet is the basic wavelet, =64, the sampling frequency is 1000, and the number of sampling points is 1000; the experimental results are attached Figure 5 , with Figure 6 shown; attached Figure 5 We found that the energy on the time spectrum obtained a...

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Abstract

The invention relates to an instantaneous frequency stability based SWT logistics equipment vibration signal noise reduction method in allusion to problems that the material transmission accuracy is reduced and the operation risk is increased because of failure problems such as deviation and abrasion of the traditional transmission equipment due to long-term frequency use. The method comprises thesteps of (1) collecting vibration signals by using a vibration acceleration sensor; (2) performing segmentation processing at intervals on the obtained vibration signals according to a time sequenceto obtain a sampling point set; (3) performing time-frequency decomposition on the vibration segment signals obtained in the step (2) by using synchronous extrusion wavelet transform to obtain a synchronous extrusion wavelet variable and time-frequency diagram information; (4) performing selective extraction and reduction on the variable obtained in the step (3); and (5) calculating an instantaneous frequency curve of an IMT component obtained in the step (4) by using Hilbert transform. The scheme of the invention is applied to the instantaneous frequency stability based SWT logistics equipment vibration signal noise reduction method.

Description

Technical field: [0001] The application of the present invention relates to the field of signal noise reduction, in particular to a method for noise reduction of vibration signals of SWT logistics equipment based on instantaneous frequency stability. Background technique: [0002] At present, with the development of the economy and the improvement of modernization, logistics gradually occupies an important position in society. Logistics machinery and equipment are the foundation and key to the development of logistics operations. Efficient and safe logistics equipment can improve the operational efficiency and technical level of logistics. Transmission equipment As an indispensable part of logistics machinery and equipment, due to long-term frequent use, there will be problems such as deviation and wear, which will reduce the accuracy of material transmission and increase operational risks; therefore, how to ensure its safe and reliable operation is the key to the safety and ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/06
Inventor 陶新民刘福荣沈微王立海孙术发董景峰陶思睿
Owner NORTHEAST FORESTRY UNIVERSITY
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