Artificial intelligence-based tooth surface gluing degree evaluation method

Abstract

The invention relates to the technical field of artificial intelligence, in particular to a tooth surface gluing degree evaluation method based on artificial intelligence. The method comprises the following steps: acquiring a tooth surface image of a gear, and obtaining a tooth surface area in the tooth surface image; calculating the gradient of each pixel point in the tooth surface area, obtaining a plurality of pixel gradient sequences formed by the gradients of each row of pixel points, obtaining the initial permutation entropy of each row of pixel gradient sequences by using the initial embedding dimension and the initial time delay, optimizing the initial embedding dimension and the initial time delay by using the initial permutation entropy, and obtaining a plurality of pixel gradient sequences formed by the gradients of each row of pixel points; the embedding dimension and the time delay of each row of pixel points are obtained; and calculating the permutation entropy of each row of pixel points by using the embedding dimension and the time delay to obtain the gluing defect degree of the tooth surface area, and obtaining the tooth surface gluing degree of the gear according to the gluing defect degrees of the plurality of tooth surface areas. The permutation entropy is used for analyzing the disorder degree of each row of pixel points in the tooth surface area, the difference between normal pixel points and defect pixel points is fully represented, and the detection reasonability can be improved.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to an artificial intelligence-based evaluation method for tooth surface gluing degree. Background technique [0002] In the high-speed and heavy-duty gear transmission, the oil film of the gear lubricating oil is destroyed due to the temperature rise, and a high instantaneous temperature is generated in contact with the tooth surface, and the metal parts at the contact of the tooth surface are bonded together under high pressure, The sliding direction of the surface forms strip-shaped rough grooves with different depths and widths, which are more serious at the top and root of the tooth, resulting in tooth surface gluing, which leads to gear failure or gear failure, affecting work efficiency and work quality. Therefore, it is necessary to evaluate the gluing phenomenon of gears and the degree of gluing defects, so as to take corresponding treatment measures to preven...

AI Technical Summary

Problems solved by technology

[0003] Among the tooth surface gluing determination methods at the present stage, the tooth surface wear method and the gear dynamic response method need special precision instruments such as ferrography, photometer, photoelectric colorimeter, and experimental gear box, which have relatively large limitations and cannot Scale promotion and use

However, in industrial or living scenarios, the defect connected domain is generally obtained by taking pictures, and the degree of tooth surface bonding is determined based on information such as the area and quantity of the connected domain. There is less effective information and the accuracy of the detection result is lower.

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