Hydraulic gear pump defect detection method and system based on artificial intelligence

A hydraulic gear pump, artificial intelligence technology, applied in the testing of mechanical parts, optical testing flaws/defects, testing of machine/structural parts, etc., to avoid the influence of errors and improve the accuracy

Active Publication Date: 2022-04-15
南通俊朗智能科技有限公司
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to solve the above technical problems, the object of the present invention is to provide a method and system for

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hydraulic gear pump defect detection method and system based on artificial intelligence
  • Hydraulic gear pump defect detection method and system based on artificial intelligence
  • Hydraulic gear pump defect detection method and system based on artificial intelligence

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the following is a method and system for detecting defects in a hydraulic gear pump based on artificial intelligence proposed in accordance with the present invention in conjunction with the accompanying drawings and preferred embodiments. Its specific implementation, structure, feature and effect thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0034] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0035] The embodiment of the present inventi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to the technical field of hydraulic system part defect detection, in particular to a hydraulic gear pump defect detection method and system based on artificial intelligence. The method comprises the following steps: acquiring a tooth surface target area of a gear pump image; obtaining the complexity of the target area; obtaining the entropy of the target area under each color channel, obtaining a spatial distribution vector according to the entropy of the target area, and obtaining an abnormal index according to the difference between the spatial distribution vector and the spatial distribution vector of the normal tooth surface; obtaining the difference degree between any two pixel points in the target area, and obtaining the difference index of the target area according to the difference between the difference degree and the difference degree of the normal tooth surface; and obtaining a defect confidence coefficient according to the complexity, the abnormal index and the difference index, and determining that the gear pump has defects when the defect confidence coefficient is greater than a preset threshold value. The target area is comprehensively considered from multiple aspects, different characteristic parameters are obtained, and the accuracy of tooth surface defect detection is improved.

Description

technical field [0001] The invention relates to the technical field of defect detection of hydraulic system parts, in particular to a method and system for detecting defects of hydraulic gear pumps based on artificial intelligence. Background technique [0002] With the development of automation in modern industrial enterprises, the hydraulic equipment in various industrial enterprises is also rising. In order to ensure the normal and efficient operation of hydraulic equipment, it is usually necessary to test the components and parts of hydraulic equipment in the actual application process. Repair and maintenance. The gear pump is the power component of the hydraulic system. The gear is an important transmission part commonly used in hydraulic equipment. The quality and precision of the tooth surface have an important impact on the overall performance and service life of the entire hydraulic equipment. [0003] Most of the existing fault detection of gear pumps in hydraulic...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06T7/00G06T7/11G01M13/021G01N21/88G06V10/74
CPCY02P80/10
Inventor 王华程郝美香
Owner 南通俊朗智能科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products