基于智能诊断的变压器试验检修新技术研究  

Research on New Technology of Transformer Test and Maintenance Based on Intelligent Diagnosis

作　　者：任宝龙 尹维昌 王亮 REN Baolong;YIN Weichang;WANG Liang(State Grid Jilin Electric Power Co.,Ltd.,Changchun Power Supply Company,Changchun,Jilin Province,130000 China)

机构地区：[1]国网吉林省电力有限公司长春供电公司,吉林长春130000

出　　处：《大众科学》2024年第23期34-36,共3页China Public Science

摘　　要：随着对电力系统设备可靠性的要求提升,变压器的健康状态成为保障系统稳定的关键。传统检修方法效率低且容易出错。对此,开发了一种基于智能诊断的新技术,整合了现代传感器、大数据处理与机器学习算法,以实现变压器运行状态的实时监控和故障预测,显著提升检修效率并降低成本。实验结果验证了该系统在预测故障和优化变压器健康管理方面的有效性。With the increasing requirements for the reliability of power system equipment,the health status of transformers has become the key to ensure system stability.Traditional maintenance methods are inefficient and error-prone.In this study,we have developed a new technology based on intelligent diagnosis,which integrates modern sensors,big data processing and machine learning algorithms to realize real-time monitoring and fault prediction of transformer operating status,significantly improve maintenance efficiency and reduce costs.The experimental results verify the effectiveness of the system in predicting faults and optimizing transformer health management.

关 键 词：变压器检修 智能诊断 故障检测 数据分析 

分 类 号：TM406[电气工程—电器]