高压电器2025，Vol.61Issue(8)：39-46,8.DOI:10.13296/j.1001-1609.hva.2025.08.005
基于振动信号格拉姆角场增强的GIS设备运行状态辨识方法
Operation Status Identification Method of GIS Based on Enhanced Gramian Angular Fields of Vibration Signals
摘要
Abstract
In order to realize intelligent monitoring and effective identification of operation status of gas insulated switchgear(GIS),in this paper a kind of operation status identification method of GIS based on enhanced Gramian an-gular fields and residual neural network are proposed.The original vibration time-domain signals of GIS equipment are characterized by high-order through the Gramian angular fields,and it is projected into a two-dimensional pic-ture,and then the residual neural network is used to achieve the status identification of GIS.A test simulation testing system including three typical mechanical defects of GIS is set up.The test results show that the proposed method can not only effectively characterize the status characteristics of the original signal,but also the identification accuracy is significantly improved by approximately 5%compared with the conventional method,which proves the effectiveness of the proposed method.关键词
振动信号/格拉姆角场/气体绝缘开关/残差神经网络/状态辨识Key words
vibration signals/Gramian angular fields/gas insulated switchgear/residual neural network/status identification引用本文复制引用
王劭鹤,赵琳,杨勇,金涌涛,王枭,陈孝信,张阳..基于振动信号格拉姆角场增强的GIS设备运行状态辨识方法[J].高压电器,2025,61(8):39-46,8.基金项目
国网浙江省电力有限公司科技项目(5211DS20008K). Project Supported by Science and Technology Project of State Grid Zhejiang Electric Power Company(5211DS20008K). （5211DS20008K）
