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Sobel operator Wigner-Hough transform based gear fault feature extraction method

A technology of fault feature and extraction method, which is applied in computing, computer parts, character and pattern recognition, etc., can solve problems such as difficulty in extracting gear fault features, achieve good fault diagnosis effect, fast operation speed, and suppress the influence of noise Effect

Inactive Publication Date: 2017-02-08
HUNAN UNIV OF ARTS & SCI
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Problems solved by technology

[0003] Aiming at the disadvantages of Wigner-Hough transform in the above-mentioned prior art that it is difficult to extract gear fault features under the condition of low signal-to-noise ratio, the purpose of the present invention is to provide a gear fault feature extraction method combining Sobel operator and Wigner-Hough transform

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  • Sobel operator Wigner-Hough transform based gear fault feature extraction method
  • Sobel operator Wigner-Hough transform based gear fault feature extraction method
  • Sobel operator Wigner-Hough transform based gear fault feature extraction method

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Embodiment 1

[0033] Step 1: Input the gear fault signal S(t);

[0034] Step 2: Calculate the Wigner-Ville distribution of the gear fault signal: first define the WVD of the signal S(t) as: , (Formula 1)

[0035] Step 3: Use the obtained Wigner-Ville distribution as the image {f(i,j)}, first use the Sobel operator for edge detection: for the image {f(i,j)}, A(i,j) and B (i, j) is the result of executing the Sobel operator, let S(i, j)=max(A(i,j), B(i,j)) or S(i,j)=A(i, j)+B(i, j), wherein A detects a horizontal edge, and B detects a vertical edge; select an appropriate threshold η, and make the following judgment: if S (i, j)>η, then ( i,j ) is an edge point, {S(i, j)} is an edge image;

[0036] Step 4: Extract fault signal features through Hough transform: After edge detection, the Wigner-Hough transform of S(t) is:

[0037] ; (Formula 2)

[0038] and then converted to something like figure 1 In polar coordinate form, the expression is:

[0039] ; (Formula 3)

[0040] The fault...

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Abstract

The invention discloses a Sobel operator and Wigner-Hough transform based gear fault feature extraction method, which comprises the steps of (1) inputting a gear fault signal S(t); (2) calculating to acquire Wigner-Ville distribution of the gear fault signal; (3) using the Wigner-Ville distribution acquired in the step (2) to act as an image, and performing edge detection by using a Sobel operator firstly; and then (4) extracting fault signal features through Hough transform. According to the invention, a time-frequency spectrum of the gear fault signal is regarded as a two-dimensional image, analysis and state recognition are performed by applying image processing, the fault diagnosis effect is good, and the signal detection result is more reliable.

Description

technical field [0001] The invention relates to the technical field of gear fault feature detection, in particular to a gear fault feature extraction method based on Sobel operator and Wigner-Hough transformation. Background technique [0002] Time-frequency analysis has become the main tool for studying non-stationary signals because it has localized information in both time domain and frequency domain. Time-spectrum representation methods have been widely researched and applied in the field of equipment fault diagnosis. The time-frequency spectrum of the fault signal is regarded as a two-dimensional image, and then the Hough transform in image processing is applied to the fault diagnosis. For example, the fault feature extraction method based on Wigner-Hough transform is also applied. However, when the signal-to-noise ratio is low, the time-spectrum of the Wigner-Hough transform will be submerged by noise, and it is difficult to complete the feature extraction of the sign...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/04G06F2218/08
Inventor 蔡剑华郭杰荣王先春胡惟文熊锐
Owner HUNAN UNIV OF ARTS & SCI
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