先用SABO-VMD提取西储大学轴承诊断数据特征,进而基于GCN图卷积神经网络进行故障诊断识别。其中SABO-VMD为减法平均优化器SABO算法优化VMD变分模态分解参数,确定VMD的最佳k和α参数。 1.Matlab实现SABO-VMD-GCN特征提取+图卷积神经网络轴承故障诊断故障诊断,运行环境Matlab2023b及以上; 2.数据为西储大学轴承诊断数据,可在...
【VMD-SABO-KELM】【轴承诊断】基于VMD-SABO-KELM优化核极限学习机的西储大学轴承诊断研究(Matlab代码实现), 视频播放量 0、弹幕量 0、点赞数 1、投硬币枚数 0、收藏人数 0、转发人数 0, 视频作者 荔枝科研社, 作者简介 资源下载,崴信:荔枝科研社,相关视频:看看航空发
vmddata = [];%保存提取好的故障特征向量 zuijiacanshu = []; %保存每种故障状态的最佳VMD参数和对应的最佳IMF索引值 curve = []; %保存每种故障状态对应的优化VMD收敛曲线 for i=1:4 %因为有4种故障状态 disp(['正在对第',num2str(i),'个故障类型的数据进行VMD优化……请耐心等待!']) every_data ...
机器人由于低刚度特性导致加工中极易产生颤振,针对颤振特征频率提取与颤振识别问题,提出基于减法平均优化算法(SABO)对变分模态分解(VMD)中关键参数进行优化,筛选颤振敏感IMF分量并重组;根据颤振信号的频谱特性构建基于功率谱熵差(ΔPSE)的颤振识别指标,采用K-means++算法对不同颤振类型进行辨识.实验结构表明,所提...
and the training set and the test set were divided according to different proportions.The results were compared with the optimized model without SABO algorithm.The experimental results show that the fault diagnosis method of wind turbine based on SABO-VMD-KELM model can achieve fault diagnosis ...
光伏阵列变分模态分解减法平均优化器核极限学习机故障诊断光伏阵列长期处于恶劣的室外环境,容易发生故障.为了进一步提高模型分类识别的准确率和泛化能力,提出一种基于变分模态分解(VMD)和减法平均优化器(SABO)优化核极限学习机(KELM)的光伏阵列故障诊断方法.首先,利用Matlab建立光伏阵列仿真模型,设置故障点,获得不同故障数据...
The performance of the SABO–VMD and WMH–KNN models is verified through two experimental cases and compared with traditional methods. The results show that the accuracy of motor-bearing fault diagnosis is significantly improved, reaching 97.22% in Dataset 1, 98.33% in Dataset 2, and 99.2% in ...
bearing; fault diagnosis; variational mode decomposition (VMD); WMH-K nearest neighbor (KNN); subtraction average-based optimizer (SABO)1. Introduction The electric oil drilling rig plays a vital and irreplaceable role in the petroleum industry, serving as a cornerstone of oil exploration. Within ...