Gearbox Fault Feature Extraction Method Based on Scale Space and Improved Sparse Representation
A scale space, sparse representation technology, applied in the testing of mechanical components, character and pattern recognition, and pattern recognition in signals, etc., can solve the problems of low time-frequency resolution and reconstruction accuracy, and eliminate modal aliasing. Phenomenon, accurate extraction, high-precision effects
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[0049] The specific embodiments of the present invention will be described below with reference to the accompanying drawings.
[0050] This application discloses a method for extracting fault features of gearboxes based on scale space and improved sparse representation. figure 1 The flow chart shown includes the following steps:
[0051] Step 1. Obtain the original vibration signal of the gearbox that needs to be decomposed;
[0052] Step 2: Use the scale space to divide the original signal into several frequency band component signals centered on the meshing frequencies of each order of the gear according to the frequency band, which specifically includes the following steps:
[0053] 2.1) Find the spectrum f of the original vibration signal x(t) of the gearbox, regard the spectrum f as a set of histograms, and use the Gaussian kernel function to perform circular convolution on the spectrum f, the formula is as follows:
[0054]
[0055] In the formula, g(n; t) is a di...
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