【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
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 SABO algorithm was used to optimize the KELM parameters,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 ...
针对麻雀搜索算法(Sparrow Search Algorithm,SSA)容易陷入局部最优的问题进行了改进,并将改进后的SSA用于对SVM参数进行寻优.使用SABO-VMD对数据进行预处理,提取时域特征作为SVM输入向量.进行了噪声环境下的十种不同轴承状态和全寿命周期下四个不同阶段的分类实验,并对比了PSO-SVM,SSA-SVM以及改进SSA-KELM的效果,结果...
3. Diagnosis Model Based on SABO–VMD–WMH–KNN 3.1. SABO–VMD Model The SABO algorithm is harnessed for the optimization of the parameters 𝛼α and 𝑘k in the VMD process. By employing the composite index of permutation entropy and mutual information entropy as the fitness function, the ...
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 ...