Hydroelectric generating set vibration signal noise reduction method based on mode autocorrelation analysis of SVD and VMD

A vibration signal, hydroelectric unit technology, applied in the recognition of patterns in signals, computer parts, characters and patterns, etc., can solve the problems of unsatisfactory separation of noise and useful signals, difficult to guarantee analysis accuracy, etc., to improve separation performance, eliminate background noise interference, and improve the effect of analysis accuracy

Inactive Publication Date: 2017-02-22
CHINA THREE GORGES UNIV
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Problems solved by technology

Among them, the noise reduction effect of wavelet transform depends on the selection of wavelet base and the determination of threshold value; the noise reduction effect of SVD is related to the construction of Hankel matrix and the selection of effective singular values; although EMD can adaptively decompose the signal into multiple modes state function, but due to the problem of modal aliasing, the separation effect of noise and use

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  • Hydroelectric generating set vibration signal noise reduction method based on mode autocorrelation analysis of SVD and VMD
  • Hydroelectric generating set vibration signal noise reduction method based on mode autocorrelation analysis of SVD and VMD
  • Hydroelectric generating set vibration signal noise reduction method based on mode autocorrelation analysis of SVD and VMD

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Embodiment Construction

[0056] A method for noise reduction of vibration signals of hydropower units based on SVD and VMD modal autocorrelation analysis, comprising the following steps:

[0057] Step 1): Construct the Hankel matrix of the unit vibration signal and perform SVD decomposition.

[0058] Step 2): Select effective singular values ​​based on the mean value filtering strategy, perform signal reconstruction, and realize pre-filtering.

[0059]Step 3): Using VMD to decompose the reconstructed signal into a series of modal functions.

[0060] Step 4): Calculate the autocorrelation function of each modal component, and select an effective modal component according to the energy concentration of the autocorrelation function.

[0061] Step 5): Accumulate all effective modal components to obtain the signal after noise reduction.

[0062] Described step 1) constructs the Hankel matrix of vibration signal and carries out SVD decomposition, assumes that the vibration signal sequence with noise is {v...

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Abstract

A hydroelectric generating set vibration signal noise reduction method based on mode autocorrelation analysis of SVD and VMD comprises the steps of constructing a Hankel matrix of a set vibration signal and performing singular value decomposition (SVD), selecting an effective singular value based on a mean value filtering strategy for reconstructing the signal, and realizing pre-filtering; performing decomposition through variational mode decomposition (VMD) for obtaining a series of mode functions, calculating an autocorrelation function of each mode component, selecting effective mode components according to an energy set of the autocorrelation function, and obtaining a signal after noise reduction through adding all effective mode components. According to the hydroelectric generating set vibration signal noise reduction method provided by the invention, a noise reduction experiment is carried out through simulation analysis and actual measurement of a vibration signal; and a result represents a fact that the method has relatively high noise reduction performance and can effectively improve hydroelectric generating set vibration signal analysis precision.

Description

technical field [0001] The invention belongs to the field of state monitoring and signal analysis of a hydroelectric unit in an electric power system, in particular to a vibration signal noise reduction method for a hydroelectric unit based on SVD and VMD modal autocorrelation analysis. Background technique [0002] As the core equipment of power plant operation, the health status of hydroelectric unit is not only related to the safety of the power plant, but also affects the safety and stability of the regional large power grid. Therefore, it is of great engineering practical significance to study the stability of the unit. In the stability analysis of the unit, vibration is an important index to characterize the health state of the unit. However, due to the influence of strong background noise and complex electromagnetic interference, the vibration characteristic frequency band representing the fault information will be lost in the background noise of the whole frequency b...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/04
Inventor 付文龙李乾坤黄悦华李振兴程紫娟
Owner CHINA THREE GORGES UNIV
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