搜索资源列表
Statistic
- 数据驱动的统计学习方法,包括PLS、PCA、ICA等,可方便进行故障诊断研究-Data-driven statistical learning methods, including PLS, PCA, ICA, can do researching on fault diagnosis
ica.infomax
- 一个非常经典的独立元分析程序包,可以应用在图像处理,故障诊断-a very classic ICA program packet ,which can be used in picture processing and fault diagnosis
work
- 该算法实现了ICA,PCA的过程监测及故障诊断-The algorithm of the ICA, PCA in process monitoring and fault diagnosis
1615
- 特征基函数ICA在航空发动机故障诊断Characteristics of ICA basis functions in the aircraft engine fault diagnosis-Characteristics of ICA basis functions in the aircraft engine fault diagnosis
3
- 一个简单的故障检测程序,采用了ICA方法,简单易懂,适合初学者。-A simple fault detection program, using the method of ICA, easy to understand, is suitable for beginners.
45
- 一个简单的故障检测程序,采用了PCA—ICA结合方法,简单易懂,适合初学者。-A simple fault detection program, the PCA-ICA combination method, easy to understand, is suitable for beginners.
Foxhole
- 一个故障诊断的程序,采用了ICA的方法,将故障时刻检测了出来。-A fault diagnosis of the program, the ICA the method of fault detection out time.
332
- 齿轮箱早期的故障信号往往十分微弱,信噪比低,这大大限制了已有诊断方法在早期诊断中的应用,因此如何获取真实的振动信号是提高齿轮箱早期故障诊断质量的关键,独立分量分析(ICA)为此提供了一种新的思路。文 中研究了ICA在齿轮箱故障早期诊断中的应用,首先分析了齿轮箱的混合振动信号模型,然后针对具体的轴承故障进行了实验,并使用快速ICA算法分离出轴承的振动信号-The early gearbox fault signal is often very weak, low signal-to-noise
ica
- 自己编写的基于负熵的ICA程序,可以多种实现故障信号的故障分离-I have written based on negative entropy ICA program, a variety of fault isolation can achieve fault signal
ICA-monitoring
- Independent component Analysis (ICA) for fault detection use SPE statistic and I^2 statistic
main_TE
- ICA-PCA 故障诊断,matlab源码。-ICA-PCA Fault diagnosis
ICA
- ICA的具体算法流程及对TE过程进行故障检测的应用-ICA and fault detection on TE
matlab-KICA
- kica-故障监测 通过对自回归模型中测量矩阵引入时滞参数得到一个适用于动态系统的增广矩阵;然后,选择核函数,计算核矩阵,将增广矩阵映射到高维空间进行白化;最后,利用改进的快速ICA方法提取出独立成分实现对新的测试数据进行在线监测-kica-Fault monitoring
ICA
- 主要是运用ICA算法提取独立分量ICs,建立相关统计量,用于TE过程的故障检测(The ICA algorithm is used to extract the independent component ICs and establish correlation statistics for fault detection in TE process.)
ICA
- matlab上基于ICA的故障监测程序,有注释(ICA-based fault monitoring)
10.1016@j.jsv.2016.01.046
- 基于EEMD的回转支承故障多尺度ICA方法 检测与诊断(EEMD-based multiscale ICA method for slewing bearing fault detection and diagnosis)