基于贝叶斯推理和多传感器信息融合的换流变缺陷分类算法研究  

Transformer Fault Diagnosis Method Based on Bayesian Interference and Multi-Dimensional Information Fusion

作　　者：周春阳[1] 李亚锦[2] 刘英男[2] 石延辉[1] 洪乐洲[1] ZHOU Chun-yang;LI Ya-jin;LIU Ying-nan;SHI Yan-hui;HONG Le-zhou(Guangzhou Bureau EHV Power Transmission Company of CSG,Guangzhou 510000,China;Shandong University,Jinan 250061,China)

机构地区：[1]中国南方电网超高压输电公司广州局,广东广州510000 [2]山东大学,山东济南250061

出　　处：《变压器》2020年第11期15-20,共6页Transformer

摘　　要：本文中作者提出一种基于WiFi无线传输的换流变压器在线监测统一监控改造方案,辅助现场监制。在某换流站应用上述系统和模型分析换流变监控数据,验证了模型的有效性。In this paper,a unified monitoring and reconstruction scheme for online monitoring of converter transformer based on WiFi wireless transmission is proposed to assist the on-site monitoring.In a converter station,the above system and model are applied to analyze the converter flow monitoring data,and the validity of the model is verified.

关 键 词：换流变 缺陷原因识别 DBN 贝叶斯推理 

分 类 号：TM406[电气工程—电器]