Pipeline corrosion grade evaluation method based on multilayer convolution sparse coding
A technology of convolutional sparse coding and level evaluation, applied in the field of level evaluation, can solve the problems of a large number of parameters, large amount of calculation, lack of interpretability, etc., and achieve the effect of high accuracy and efficient extraction
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[0046] In order to better understand the technical solutions of the present invention, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples. The same reference numbers in the figures indicate functionally identical or similar elements. While various aspects of the embodiments are shown in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
[0047] Such as figure 2 As shown, a pipeline corrosion level assessment method based on multi-layer convolutional sparse coding includes the following steps:
[0048] S1: Install the first acceleration sensor and the second acceleration sensor on the outer surface of the pipeline. The first acceleration sensor and the second acceleration sensor are respectively located on both sides of the area of interest of the pipeline. Use a hammer to hit the area of interest to obtain the shock respons...
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