Resonance Band Selection Method Based on Singular Value Component Frequency Domain Spectrum

A singular value decomposition, singular value technology, applied in the direction of measuring devices, testing of mechanical parts, testing of machine/structural parts, etc. The effect of noise, the removal of low frequency interference, the effect of improving accuracy

Active Publication Date: 2019-12-27
SHIJIAZHUANG TIEDAO UNIV
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  • Abstract
  • Description
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Problems solved by technology

However, this kind of kurtosis map is not convenient to use in actual engineering, and it is too time-consuming and energy-consuming
Document 3 (Guo Daifei, Gao Zhenming, Zhang Qiangqiang. Using wavelet threshold method for signal denoising [J]. Shandong University Journal (Natural Science Edition), 2001,36(3); 306-311.) proposed wavelet denoising, Although it has the advantages of multi-resolution, the selection of threshold and basis function needs to be determined by human experience. If the deviation is too large, it will directly affect the noise reduction effect.
Document 4 (HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis[J]. Proceeding of Royal Society London: A, 1998.454(1971 ):903-995.) The empirical mode decomposition noise reduction method used can decompose the signal into different frequency bands, and then transform it into a stable signal for further analysis. Although it is not necessary to consider the selection of parameter thresholds and basis functions, there are Certain frequency aliasing issues

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  • Resonance Band Selection Method Based on Singular Value Component Frequency Domain Spectrum
  • Resonance Band Selection Method Based on Singular Value Component Frequency Domain Spectrum
  • Resonance Band Selection Method Based on Singular Value Component Frequency Domain Spectrum

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Embodiment Construction

[0036] The technical solutions in the embodiments of the present invention are clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0037] In the following description, a lot of specific details are set forth in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described here, and those skilled in the art can do it without departing from the meaning of the present invention. By analogy, the present invention is therefore not limited to the specific examples disclosed below.

[0038] Overall, such as...

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Abstract

The invention discloses a resonance band selection method based on singular value component frequency domain spectrum, and relates to the technical field of bearing testing methods. The method includes the following steps: performing FFT frequency domain transformation on the faulty bearing signal collected by the acceleration sensor; determining the number of regions divided by the frequency spectrum according to the number of main frequencies of the signal spectrum; constructing a Hankel matrix from the collected faulty bearing signal , perform singular value decomposition on the matrix to obtain singular value components; select components for envelope demodulation analysis, and determine the center frequency and bandwidth of components by the maximum value of the envelope spectrum kurtosis. The method can not only self-adaptively select the optimal resonance band, but also improve the signal-to-noise ratio, greatly improve the diagnostic accuracy, and lay a good foundation for the subsequent bearing fault diagnosis.

Description

technical field [0001] The present invention relates to the technical field of bearing testing methods, in particular to a resonance band selection method based on singular value component frequency domain spectrum Background technique [0002] Among many rolling bearing fault diagnosis methods, resonance demodulation technology has been widely used due to its accuracy, but in this method, the setting of band-pass filter parameters requires a wealth of professional knowledge and a large amount of experience accumulation, resulting in resonance demodulation in Promotion in engineering applications is limited. In addition, the noise in the vibration signal of the rolling bearing also seriously affects the accuracy of the resonance demodulation fault diagnosis. In order to suppress the noise and improve the signal-to-noise ratio, it is often necessary to denoise the signal. [0003] Document 1 (MCFADDEN P D, SMITH J D. Vibration monitoring of rolling e1-element bearing by the ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01M13/045
CPCG01M13/045
Inventor 马增强张安杨绍普阮婉莹陈明义刘俊君秦松岩校美玲张光跃李响
Owner SHIJIAZHUANG TIEDAO UNIV
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