Gearbox fault feature extraction method based on scale space and improved sparse representation
A technology of scale space and sparse representation, which is applied in character and pattern recognition, testing of mechanical components, pattern recognition in signals, etc. It can solve the problems of low time-frequency resolution and reconstruction accuracy, and eliminate modal aliasing phenomenon, good time-frequency characteristics, and the effect of accurate extraction
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[0049] The specific embodiments of the present invention will be described below in conjunction with the accompanying drawings.
[0050] This application discloses a gearbox fault feature extraction method based on scale space and improved sparse representation, refer to figure 1 The flowchart shown includes the following steps:
[0051] Step 1. Obtain the original vibration signal of the gearbox that needs to be decomposed;
[0052] Step 2. Divide the original signal into a number of frequency band component signals centered on the meshing frequency of each order of the gears according to the frequency bands using the scale space, specifically including the following steps:
[0053] 2.1) Find the frequency spectrum f of the original signal x(t) of the gearbox vibration, regard the frequency spectrum f as a set of histograms, and use the Gaussian kernel function to perform circular convolution on the frequency spectrum f, the formula is as follows:
[0054]
[0055] In th...
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