Vibration damper defect detection method based on dynamic adaptive weight loss
A dynamic self-adaptive and defect detection technology, applied in neural learning methods, image enhancement, instruments, etc., can solve the problems of multiple computing resources, increase the computational complexity and consumption of algorithm models, and achieve the effect of improving detection efficiency
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[0078] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the invention, all other embodiments obtained by those of ordinary skill in the art without creative work, any modifications, equivalent replacements, improvements, etc., should be included within the protection scope of the present invention .
[0079] A method for detecting the defect of an anti-vibration hammer based on a dynamic adaptive weight loss, which specifically includes the following steps:
[0080] like figure 1 As shown, make a shock-proof hammer and its defect data set, the shock-proof hammer and its defect data set at least include a training data set and a test data set;
[0081] like figure 2...
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