Digital image processing for physical basis analysis of electrical failure forecasting in XLPE power cables based on field simulation using finite‐element method

Talaat, M.; Tayseer, M.; El-Zein, A.

doi:10.1049/iet-gtd.2020.1176

Cited by 9 publications

(8 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…ese nodes form technology networks, often through selforganization. In terms of network functions, each node not only takes on the dual roles of terminal and router of traditional multimedia network nodes but also performs image data acquisition, storage, management, and fusion [14]. In special cases, it is also necessary to cooperate with other nodes.…”

Section: Application Of Image Processing Variation Modelmentioning

confidence: 99%

Application of Image Processing Variation Model Based on Network Control Robot Image Transmission and Processing System in Multimedia Enhancement Technology

2022

Journal of Robotics

View full text Add to dashboard Cite

The rapid development of the information age brings convenience to human life, but it also brings great challenges to information processing technology. Multimedia enhancement technology is an organic combination of multimedia technology and information processing technology, and it is also an important way of modern multimedia image information processing. However, its usefulness and effectiveness are increasingly negatively affected by the open information environment. The processing effect is also unable to meet the development requirements of the visual field. In order to improve this problem, this paper studied the image transmission and processing system of network-controlled robot on the basis of analyzing the characteristics of the problems existing in the current stage of multimedia technology. On this basis, a new image processing variational model was established and applied to multimedia enhancement technology, which improved the efficiency and effect of image information processing. Finally, the feasibility of its application function and performance was tested by experiments. The test results showed that in the difficult mode of the image processing task, the refresh time of the model in this paper in the multimedia enhancement technology was 1.13 s in total, which was not much different from the test results in the easy mode. Also, in the load stress test, the comprehensive test values under full-function operation and partial-function operation were 42.04% and 20.92%, respectively. Compared with the traditional model, the model in this paper has stronger carrying capacity in multimedia enhancement technology and has better processing ability and stability.

show abstract

Section: Application Of Image Processing Variation Modelmentioning

confidence: 99%

Application of Image Processing Variation Model Based on Network Control Robot Image Transmission and Processing System in Multimedia Enhancement Technology

2022

Journal of Robotics

View full text Add to dashboard Cite

show abstract

“…As far as the current digital image processing technology is in many application fields such as archaeology, astronomy, medicine, national defense, biological science, and industry, for machine interpretation, the key to the applica-tion of digital image processing technology is how to use reasonable computer processing methods to extract images. Available information is in [6,7]. Several typical aspects are as follows: automatic identification of language, fingerprints, faces, etc.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Color Enhancement Processing for Plane Images Based on Computer Vision

Jiao

2022

Journal of Sensors

View full text Add to dashboard Cite

As the main carrier of information transmission, plane images play an important role in the current network era. In order to enhance the color of the plane image, optimize the image effect, and solve the problem of image distortion with large color difference, a color enhancement processing optimization method is proposed based on the technical support of computer vision. According to computer vision theory, a computer vision model for adjusting perceived color and brightness is constructed. Combining it with the bilateral filtering algorithm, a color enhancement processing optimization model is obtained, which consists of three main stages: illumination information parameter estimation and image color correction, reflection coefficient parameter estimation and image color correction, and adaptive filtering. By estimating illumination information parameters and reflection coefficient parameters, the secondary gamma correction of image color is realized. After being processed by the bilateral filtering algorithm, the final optimized image is obtained. Verified by the subjective and objective evaluation results, the positive correlation index values of this method are all high, 8.0246, 16.4526, 0.9037, and 15.0246, respectively, and the negative correlation index value is low, 49.4169. It is proved that the proposed method can effectively suppress the halo and artifacts and obtain the image color quality that satisfies the visual perception. It not only enhances the image color but also retains the details to the greatest extent.

show abstract

“…The finite element method has been used for many years for many electrical power system applications [58][59][60]. Currently using computers with high processing capacity, it is possible to analyze highly non-linear surfaces, which makes its application promising for evaluating electrical power system components [61].…”

Section: Finite Element Methodsmentioning

confidence: 99%

Optimal design of electrical power distribution grid spacers using finite element method

Stefenon

Seman

Ovejero

et al. 2022

IET Generation Trans & Dist

View full text Add to dashboard Cite

Spacers in the compact power distribution network are essential components for the support, organization, and spacing of conductors. To improve the reliability of these components and have an optimized network design, it is necessary to evaluate the performance of the variation of their geometric parameters. The analysis of these components is fundamental, considering that there are several models available that are validated by the electric power utilities. Due to the various possible design shapes, it is necessary to use an optimized model to reduce the electric potential located in specific sites, improving the reliability in the component, as the higher electrical potential results in a greater chance of failure to occur. The finite element method (FEM) stands out for evaluating the distribution of electrical potential. In this paper, an FEM is used to evaluate variations in vertical and horizontal dimensions in spacers used in the 13.8 kV power grid. The models are analyzed in relation to their behavior regarding the potential distribution on their surface. From the results of these variations, the model is optimized by means of a mixed-integer linear problem (MILP), replacing the FEM output with a ReLU network substitute model, to obtain a spacer with more efficiency to be used in semi-insulated distribution networks.

show abstract

Digital image processing for physical basis analysis of electrical failure forecasting in XLPE power cables based on field simulation using finite‐element method

Cited by 9 publications

References 44 publications

Application of Image Processing Variation Model Based on Network Control Robot Image Transmission and Processing System in Multimedia Enhancement Technology

Application of Image Processing Variation Model Based on Network Control Robot Image Transmission and Processing System in Multimedia Enhancement Technology

Optimization of Color Enhancement Processing for Plane Images Based on Computer Vision

Optimal design of electrical power distribution grid spacers using finite element method

Contact Info

Product

Resources

About