Method and system for detecting foreign matter defects in GIS equipment
A detection method and technology of foreign matter, applied in fuzzy logic-based systems, computer components, biological neural network models, etc., can solve the problem of lack of methods for the types of foreign matter defects, and achieve high accuracy and efficiency
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[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0022] The embodiment of the invention discloses a detection method for foreign matter defects inside GIS equipment. Such as figure 1 As shown, the method includes the following steps:
[0023] Step S101: training a foreign object defect classification model by using training samples of sound signals inside the GIS equipment.
[0024] It should be understood that each training sample corresponds to a standard category of foreign object defects.
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