搜索资源列表
kpca
- 主元分析法(PCA)是目前基于多元统计过程控制的故障诊断技术的核心,是基于原始数据空间,通过构造一组新的潜隐变量来降低原始数据空间的维数,再从新的映射空间抽取主要变化信息,提取统计特征,从而构成对原始数据空间特性的理解。-Principal Component Analysis
FN-KNN
- 基于k近邻规则的PCA方法,改进的主元分析法用于故障诊断-PCA based on KNN
PCA_TE_Fault
- 详尽的PCA算法对TE过程的故障诊断分析,内含有部分故障数据,可供调试使用,对做故障诊断的非常有帮助。-PCA algorithm of detailed analysis of the fault diagnosis process of TE, contains some failure data, available to debug, is helpful for fault diagnosis.
dprca
- 动态主成分分析方法,可以用于动态过程的故障诊断-dynamic pca for fault diagnosis of dynamic systems
g
- 主元分析法(PCA)是目前基于多元统计过程控制的故障诊断技术的核心,是基于原始数据空间,通过构造一组新的潜隐变量来降低原始数据空间的维数,再从新的映射空间抽取主要变化信息,提取统计特征,从而构成对原始数据空间特性的理解。-Principal component analysis (PCA) is based fault diagnosis technique multivariate statistical process control at the core of the current,
1
- MATLAB PCA 基于主元分析的柴油机故障检测程序-MATLAB PCA
Desktop
- PCA实例,并在工业过程故障监控中的应用-PCA examples
KLPP_PCAalgrithm
- 此算法是基于KLPP与PCA的数据的降维的方法,可用于图像处理和故障诊断等需要降维的应用中。-This algorithm can be used for dimentionality of data,
PCA_model
- 用于TE模型的故障数据检测,使用pca主元分析法,- TE model by using pca detection
PCA_kpca
- 利用pca和kpca对CSTR过程进行故障诊断,包括7个噪声及开环和串级控制-Pca for CSTR kpca use and process troubleshooting, including seven noise and open-loop and cascade control
FaultDiagnosisPCA
- 基于信息熵和PCA的故障诊断方法,针对状态方程描述-The fault diagnosis method based on information entropy and PCA is described
cva3
- 基于CVA+som的故障诊断,0为simple SOM,1为PCA+SOM, 2为CCA+SOM(CCA与PLS算法相同),3为LDA+SOM, -Based on CVA+ som fault diagnosis, 0 for the simple SOM, 1 for the PCA+ SOM, 2 for the CCA+ SOM (CCA and PLS algorithm the same), 3 for the LDA+ SOM,
Rolling bear
- 采用PCA白化和K均值对轴承故障进行聚类分析(Clustering analysis of bearing failure by PCA whitening and K mean)
1
- 基于神经网络的故障检测,首先利用了pca进行了数据预处理,然后输入到神经网络中(In fault detection based on neural network, the data are preprocessed by using pca, and then input into the neural network.)