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兰州理工大学 [10]
西安交通大学 [10]
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期刊论文 [11]
会议论文 [9]
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2021 [1]
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Fault feature extraction of rolling bearing integrating KPCA and t-SNE
期刊论文
Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2021, 卷号: 34, 期号: 2, 页码: 431-440
作者:
Wang, Wang-Wang
;
Deng, Lin-Feng
;
Zhao, Rong-Zhen
;
Wu, Yao-Chun
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2022/02/17
Clustering algorithms
Data mining
Extraction
Feature extraction
Frequency domain analysis
Nearest neighbor search
Stochastic systems
Time domain analysis
Fault feature extractions
Feature extraction methods
Global and local structures
High dimensional feature
K-nearest neighbor classifier
Kernel principal component analyses (KPCA)
Rolling bearing vibration
Stochastic neighbor embedding
A Process Monitoring Method Based on Dual-Parameter Optimization
会议论文
作者:
Jiarula, Yasenjiang
;
Sun, Wenlei
;
Fan, Jun
;
Tao, Qing
;
Musha, Reyihan’guli
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2019/11/19
Chemical engineering systems
Fault detection rate
Kernel function
Kernel principal component analyses (KPCA)
Maximum detection rates
Nonlinear characteristics
Nonlinear mapping functions
Principal Components
Fault Diagnosis for Transmission System of Large Equipment Using Nonlinear Output Frequency Response Function
会议论文
作者:
Zhang, Jialiang
;
Cao, Jianfu
;
Wu, Jie
;
Wang, Lin
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/11/26
Different frequency
Kernel principal component analyses (KPCA)
Local characteristics
Nonlinear frequency
Non-linear output frequency response function
Nonlinear spectrum
Numerical control equipments
Transmission systems
A Method of Dimension Reduction of Rotor Faults Data Set Based on Fusion of Global and Local Discriminant Information
期刊论文
Zidonghua Xuebao/Acta Automatica Sinica, 2017, 卷号: 43, 期号: 4, 页码: 560-567
作者:
Zhao, Xiao-Li
;
Zhao, Rong-Zhen
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/11/14
Data visualization
Discriminant analysis
Failure analysis
Nearest neighbor search
Principal component analysis
Visualization
Between class scatter
Data dimension reduction
Dimension reduction method
Discriminant informations
Kernel principal component analyses (KPCA)
Local manifold structure
Locality sensitive discriminant analysis
Orthogonalization process
A Clustering Algorithm for High-Dimensional Nonlinear Feature Data with Applications
期刊论文
Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2017, 卷号: 51, 页码: 49-55 and 90
作者:
Jiang, Hongquan
;
Wang, Gang
;
Gao, Jianmin
;
Gao, Zhiyong
;
Gao, Ruiqi
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/11/26
Density clustering
High dimensional data
Kernel principal component analyses (KPCA)
Knowledge expression
Nonlinear characteristics
Nonlinear features
Nonlinear relations
Principal component space
Optimization of Support Vector Machine and Its Application in Intelligent Fault Diagnosis
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2017, 卷号: 37, 页码: 547-552
作者:
Wang, Baojian
;
Zhang, Xiaoli
;
Fuyang, Aoxiao
;
Chen, Xuefeng
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/11/26
Comparative experiments
Intelligent diagnosis methods
Intelligent fault diagnosis
Kernel function parameters
Kernel principal component
Kernel principal component analyses (KPCA)
Particle swarm optimization algorithm
Support vector machine models
State monitoring of complex electromechanical system based on integrated entropy of KPCA
期刊论文
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2015, 卷号: 21, 期号: [db:dc_citation_issue], 页码: 1327-1333
作者:
Gao, Zhi-Yong
;
Liang, Yin-Lin
;
Gao, Jian-Min
;
Jiang, Hong-Quan
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/02
Complex electromechanical systems
Conventional methods
High dimensional spaces
Kernel principal component
Kernel principal component analyses (KPCA)
Kernel principle component analysis
Renyi entropy
Status monitoring
A fault diagnosis algorithm for chemical process based on dual-kernel independent component analysis
期刊论文
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2014, 卷号: 48, 期号: 7, 页码: 1004-1008
作者:
Zhao, Xiao-Qiang
;
Qian, Jun-Xiu
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/11/14
Chemical analysis
Chemical reactors
Failure analysis
Fault detection
Independent component analysis
Tanks (containers)
Chemical process
Continuous stirred tank reactor (CSTR) process
Diagnosis algorithms
False positive rates
High dimension feature space
Kernel independent component analysis
Kernel principal component analyses (KPCA)
Nonlinear kernel functions
Weighted KPCA based on fault feature selection and feature information fusion
期刊论文
Zhendong yu Chongji/Journal of Vibration and Shock, 2014, 卷号: 33, 期号: 9, 页码: 89-93+121
作者:
Zhang, Heng
;
Zhao, Rong-Zhen
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/11/14
Failure analysis
Frequency domain analysis
Information fusion
Machinery
Principal component analysis
Time domain analysis
Corresponding relations
Fault characteristics
Fault feature selections
Feature information
Feature selection methods
Kernel principal component analyses (KPCA)
Sensitive features
Time frequency domain
An improved KPCA algorithm of chemical process fault diagnosis based on RVM
会议论文
Xi'an, China, July 26, 2013 - July 28, 2013
作者:
Zhao, Xiaoqiang
;
Xue, Yongfei
;
Yang, Wu
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/11/15
Failure analysis
Principal component analysis
Process control
Support vector machines
Vector spaces
Vectors
Combined algorithms
Fault identifications
Kernel principal component analyses (KPCA)
KPCA-RVM
KPCA-SVM
Relevance Vector Machine
TE process
Tennessee Eastman
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