搜索资源列表
kpca.rar
- 一个利用KPCA进行故障诊断的程序，用起来很简单，里面有详细的标注,A use of KPCA for fault diagnosis procedure is very simple to use, which has detailed tagging
PCA-method-for-fault-diagnosis-routine-five(includ
- 用于故障诊断的PCA方法例程5个(含KPCA)，利用PCA（主元分析）方法或者KPCA方法，进行工业系统的故障诊断程序，有详细的注释说明-PCA method for fault diagnosis routine five (including KPCA), using PCA (principal component analysis) method or KPCA method, industrial process fault diagnosis, a detailed explanat
KPCA_SVM_Train
- 核主元分析和支持向量机结合的故障诊断方法-KPCA and SVM fault diagnosis method combining
KPCA
- 基于KPCA（核主元分析）发对TE模型进行故障诊断和辨识-Based on KPCA (KPCA) TE model made of fault diagnosis and identification
kpca1
- kpca核主成分分析用于故障诊断与辨识中，具有很强的应用价值-kpca kernel principal component analysis for fault diagnosis and identification, has a strong value
KPCA_based_FDD.pdf
- 这是一个KPCA的应用的文章，讲述了如何用KPCA处理数据到高纬度空间，并且如何用来故障诊断-This is an application of KPCA article describes how to use data processing to high-latitude KPCA space, and how to troubleshoot
PCA222
- PCA和KPCA用于故障诊断与检测，对过程有很好的监控能力-PCA and KPCA for fault diagnosis and detection, monitoring of the process have a good ability to
partiald
- KPCA原始程序，可用于故障诊断，并附有T2和SPE诊断图-KPCA original program can be used for fault diagnosis, together with the T2 and SPE diagnostic diagram
OFDM111
- pca、kpca.dpca的故障诊断程序，有很好的效果，对象为csth和cstr，希望对你有用-Pca, kpca. Dpca fault diagnosis procedure, have very good effect, the object for CSTH and CSTR, hope to be useful to you
2222
- kpca和pls对于cstr的故障诊断的比较与总结，效果比较理想，希望您采纳-Kpca and PLS for fault diagnosis of the comparison of CSTR and summarized, the effect is ideal, hope you adopted
777
- 很强大的故障诊断程序，希望对你有用，这个用了pca《dpca,kpca-Very strong fault diagnosis program, hope to be useful to you, this is in the pca "dpca, kpca
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
PCA-KPCA
- 主成分分析(Principle Component Analysis, PCA)是最为常用的特征提取方法，被广泛应用到各领域，如图像处理、综合评价、语音识别、故障诊断等。-Principal component analysis (Principle Component Analysis, PCA) is the most commonly used feature extraction methods are widely applied to various fields, such as
kpcaFordata
- KPCA故障诊断程序 主要是KPCA进行故障诊断对数据的处理，数据挖掘-KPCA principal component analysis code
kpca
- 基于核函数的非线性维数约简方法有基于核函数的主成分分(KPCA),本算法主要应用于过程监测、故障诊断等领域。-Kernel function based nonlinear dimensionality reduction method is based on kernel function (KPCA), which is mainly used in process monitoring, fault diagnosis and so on.
KPCA
- 简单实用的MATLAB对TE的故障诊断的代码，适合新手-KPCA fault diagnosis for the MATLAB TE simple algorithm, simple and practical
kpca1故障辨识
- 冶金工业过程中，选矿自动化过程中， 故障诊断、故障辨识。(Fault diagnosis and fault identification.)
kpca
- 实现工业系统过程中的故障诊断，以及进行有效的检测，从而发现故障问题(Implement fault diagnosis and detection)
KPCA故障检测
- 基于KPCA的故障诊断matlab代码。包括t^2统计量和q统计量(Fault Diagnosis Matlab Code Based on KPCA)
KPCA算法
- 对高维数据进行特征两提取,提高数据分类速度,可用于故障诊断数据的特征量提取.