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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]

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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：65/0 \| 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：18/0 \| 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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