基于计算机视觉的电力设备状态监测与故障诊断策略分析
Analysis of State Monitoring and Fault Diagnosis Strategies for Power Equipment Based on Computer Vision
贺明强 1靳君 1关新宇 1宋德琦1
作者信息
摘要
阐述基于计算机视觉的电力设备状态监测和故障诊断算法的应用,它对电力设备图像进行预处理,利用图像处理和分析方法提取出图像中的特征信息,对提取出的特征进行分类和识别.
Abstract
This paper describes the application of computer vision based power equipment status monitoring and fault diagnosis algorithms.It preprocesses power equipment images,extracts feature information from images using image processing and analysis methods,and classifies and recognizes the extracted features.
关键词
计算机视觉/状态监测/故障诊断Key words
computer vision/status monitoring/fault diagnosis引用本文复制引用
出版年
2024
NETL
NSTL
万方数据