Insulator fault detection and fault rating method based on image analysis

A fault detection and image analysis technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve the problems of insulator porcelain body reducing dielectric strength, porcelain bottle broken circuit, low detection efficiency, etc.
CN110276747AActive Publication Date: 2019-09-24CENT SOUTH UNIV
13 Cites 3 Cited by

Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
CENT SOUTH UNIV
Publication Date
2019-09-24

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses an insulator fault detection and fault rating method based on image analysis. The method comprises the steps of preprocessing a to-be-processed image; detecting the edge of the insulator; carrying out region segmentation by utilizing an improved region growth algorithm; and determining a fault by detecting the shape characteristics of the insulator area and the edge, and carrying out fault rating. According to the method, fault detection can be effectively carried out on the overhead line system insulator, the calculation amount of the algorithm is small, the area growth algorithm with the background point as the starting point is used, interference of the surface texture of the insulator is avoided, and the fault detection accuracy is guaranteed. The missing detection rate is 0.5% or below, the fault detection accuracy is 95% or above, and the actual engineering requirements are met. The invention particularly provides a feasible scheme for image analysis-based fault detection with insufficient negative samples, provides an index for judging the fault level, and is helpful for making reasonable response to consideration of factors of comprehensive safety and economy in engineering.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the technical field of image processing and analysis, and in particular relates to a fault detection method for a catenary insulator. Background technique

[0002] The catenary is an important part in the construction of electrified transmission lines. It is erected on the lines along the railway line through the pillar equipment along the line. Electric locomotives mainly obtain the electrical energy required for operation through the transmission of the catenary, so it is very important to ensure the good working condition of the catenary at all times. In the catenary system, the insulator is one of the important parts of the suspension device in addition to the mechanical support. Because the working environment of insulators needs to be exposed to the atmospheric environment for a long time, and also needs to withstand strong electric fields and strong mechanical stress for a long time, the probability of failure is high, ...

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