基于计算机视觉技术的电力设备故障检测与诊断  

Fault detection and diagnosis of power equipment based on computer vision technology

作　　者：谢继冉 孙汉林 张世伟 XIE Jiran;SUN Hanlin;ZHANG Shiwei(Shandong Hanlin Technology Co.,Ltd.,Jinan 250101,China)

机构地区：[1]山东翰林科技有限公司,济南250101

出　　处：《计算机应用文摘》2025年第9期107-109,共3页

摘　　要：随着电力系统规模的持续扩大,确保电力设备安全稳定运行显得尤为重要。与传统检测方式相比,基于计算机视觉技术的电力设备故障检测与诊断方法具有显著优势,在电力行业得到了广泛应用。文章深入探讨了计算机视觉技术在电力设备故障检测与诊断中的具体应用,旨在通过这一先进技术为电力系统的可靠运行提供有效保障,同时为相关领域的研究人员和技术人员提供有价值的参考。With the continuous expansion of the power system,ensuring the safe and stable operation of power equipment has become particularly important.Compared with traditional detection methods,computer vision based fault detection and diagnosis methods for power equipment have significant advantages and have been widely applied in the power industry.The article delves into the specific application of computer vision technology in power equipment fault detection and diagnosis,aiming to provide effective guarantees for the reliable operation of the power system through this advanced technology,and to provide valuable references for researchers and technicians in related fields.

关 键 词：计算机视觉技术 电力设备故障检测 诊断 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]