Image Processing and Deep Learning Technology Help Power Equipment Intelligent Operation Inspection

Author:

Shiling Zhang1,Xiping Jiang1

Affiliation:

1. State Grid Chongqing Electric Power Company Chongqing Electric Power Research Institute,Chongqing,China,401123

Publisher

IEEE

Reference23 articles.

1. Image segmentation method using MRMRF model with edge-preserving[J];yuebo;Journal of Xi’ an Jiaotong University,2019

2. A method for complex image segmentation based on information-theoretic distance[J];fangyan;Infrared Technology,2018

3. Fault diagnosis for power transformer based on rough set and multi -class support vector machine[J];guangning;High Voltage Engineering,2017

4. Infrared photoelectric panels image segmentation based on gray level co-occurrence matrix and region growing algorithm[J];xianggong;Science Technology and Engineering,2018

5. Research and application of RTV coating quality inspection method based on machine vision[J];zhenteng;Insulators and Surge Arresters,2018

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1. Robotic Complex for Assessing the Condition of Electrical Equipment of Substations;2024 International Russian Smart Industry Conference (SmartIndustryCon);2024-03-25

2. Defect Detection of Substation Instrumentation Equipment Based on Improved YOLOv4 Algorithm;2023 China Automation Congress (CAC);2023-11-17

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