优选特征与改进随机森林的GIS机械缺陷辨识方法Mechanical Defects Identification Method of GIS Based on Optimization Features and Improved Random Forest
王劭鹤,金涌涛,赵琳,杨勇
摘要(Abstract):
针对气体绝缘金属封闭开关设备(Gas Insulated Switchgear,GIS)早期机械缺陷难以辨识的问题,提出一种基于复合特征优选与改进随机森林的GIS机械故障诊断方法。首先提取GIS振动信号在频谱域和时频图像域的特征参量,进而构造GIS不同机械状态下的复合特征集,其次利用蚁狮算法优化的随机森林计算17维特征值矩阵的重要度并进行特征优选,最后借助于随机森林算法实现GIS不同机械状态的辨识。搭建了包含三种GIS设备典型机械缺陷的实验模拟测试系统并进行了对比实验,结果表明:所提方法提取得到的优选复合特征能够有效表征GIS不同的机械状态,辨识准确率可达98%,相较于常规单一的特征提取方法辨识精度有明显提升。
关键词(KeyWords): 气体绝缘金属封闭开关;机械缺陷;蚁狮算法;随机森林
基金项目(Foundation): 国网浙江省电力有限公司科技项目(5211DS20008K)
作者(Author): 王劭鹤,金涌涛,赵琳,杨勇
DOI: 10.19356/j.cnki.1001-3997.20251222.035
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