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Gearbox vibration signal fault feature extraction method based on wavelet entropy and information fusion

A technology of fault characteristics and vibration signals, applied in special data processing applications, measuring ultrasonic/sonic/infrasonic waves, measuring devices, etc., can solve problems such as difficulty in extracting fault characteristics of gearboxes, and achieve the effect of improving accuracy

Inactive Publication Date: 2015-12-02
BEIHANG UNIV
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Problems solved by technology

[0006] The purpose of the invention is to solve the problem that the fault feature of the gearbox is difficult to extract

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  • Gearbox vibration signal fault feature extraction method based on wavelet entropy and information fusion
  • Gearbox vibration signal fault feature extraction method based on wavelet entropy and information fusion
  • Gearbox vibration signal fault feature extraction method based on wavelet entropy and information fusion

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Embodiment Construction

[0030] In order to better explain the principles and applications of the present invention, the mathematical basis of the present invention is introduced first. The mathematical basic theory of the present invention includes wavelet packet transformation, information entropy theory and principal component analysis.

[0031] 1. Wavelet packet transform

[0032] The gearbox is usually a nonlinear system, and the vibration signal of the gearbox also has a nonlinear stationary point. Wavelet analysis is an effective method for dealing with non-stationary signals. Generally, wavelet analysis includes multiresolution analysis and wavelet packet analysis. Wavelet packet analysis has more advantages in high-frequency signal processing. Since the vibration signal of the gearbox has a high-frequency meshing signal, the present invention adopts the method of wavelet packet transformation to process the vibration signal. The wavelet packet transform method includes decomposition algor...

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Abstract

The invention discloses a gearbox vibration signal fault feature extraction method based on wavelet entropy and information fusion. The method comprises the following steps: vibration signals are decomposed through wavelet packet transform, and a wavelet coefficient matrix is obtained; wavelet time-frequency entropy (WTF) and wavelet singular value entropy (WS) can be calculated through the wavelet coefficient matrix; then information entropy of a singular value sequence is calculated according to an information entropy formula and is the WS; the WS is subjected to nonlinear transformation through kernel entropy principal component analysis (KECA), and information fusion is realized; after KECA, a first principal component, a second principal component and a third principal component are taken as fault features after fusion. Experiments prove that the method can effectively extract the fault features of a gearbox in a mixed mode, and fault diagnosis can be performed effectively on the gearbox on the basis of the gearbox fault feature extraction method.

Description

technical field [0001] The invention belongs to the technical field of gear box fault diagnosis, and in particular relates to a gear box vibration signal fault feature extraction method based on wavelet entropy and information fusion. Background technique [0002] Gearboxes are important components in mechanical systems. It is widely used in aerospace, shipbuilding, automobile industry and other fields. Because gearboxes usually work in harsh environments, they are often damaged. Failure of the gearbox can lead to failure of the entire system. Therefore, it is very important to study the gearbox fault diagnosis technology. Usually gearbox fault diagnosis techniques include oil analysis, temperature analysis and analysis based on vibration signals. In contrast, the analysis method based on vibration signal has more advantages, and it is more real-time and convenient for real-time diagnosis. The most important thing in the fault diagnosis based on the gearbox vibration si...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01H17/00G06F19/00
Inventor 刘红梅张吉昌吕琛王亚杰
Owner BEIHANG UNIV
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