电气技术2024，Vol.25Issue(2)：45-51,61,8.
基于暂态录波与多元状态估计的阀冷系统故障预警及识别
Fault warning and identification of valve cooling system based on transient recording and multivariate state estimation
摘要
Abstract
Valve cooling system is one of the important equipment in DC transmission engineering,and improving the level of its fault warning and identification has important practical value.The dual frequency transient recording data triggered by the main pump cycle switching is used to extract the system's characteristic quantities under pump switching disturbance,thereby improving operational efficiency.A dynamic process memory matrix construction method based on a combination of clustering algorithm and switching conditions is proposed.An estimation vector based on multivariate state estimation is obtained.The cosine similarity between the estimation vector and the ob-servation vector are calculated.3σ outlier detection is used as the warning threshold,and then fault identification is achieved based on the coupling degree between the warning observation vector and the switching condition,as well as the contribution of the three fault types to the error.Finally,the effectiveness of the proposed method is verified through case analysis.关键词
阀冷系统/双频暂态录波/多元状态估计/聚类算法/过程记忆矩阵/余弦相似度Key words
valve cooling system/dual frequency transient recording/multivariate state estimation/clustering algorithm/process memory matrix/cosine similarity引用本文复制引用
江楠,董熙,高原,谈云恺,蒋伟..基于暂态录波与多元状态估计的阀冷系统故障预警及识别[J].电气技术,2024,25(2):45-51,61,8.基金项目
国家电网公司总部科技项目(5500-202249130A-1-1-ZN) （5500-202249130A-1-1-ZN）
