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
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- 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
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- 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
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- pca，dpca,kpca,kspca对于故障识别、故障诊断、故障别是的应用，有很好的作用-Pca, dpca, kpca, kspca for fault recognition, faults diagnosis, especially the application of fault, have very good effect
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- 基于pca和kpca以及流形法和核流形发的程序，应用于故障检测与故障诊断,还有故障识别，识别的效果很好，对象为cstr，程序简单-Based on the pca and dpca and manifold method and procedure of the nuclear manifold hair, applied to fault detection and fault diagnosis, and fault recognition, identification of the go
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
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.
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.