×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
兰州理工大学 [18]
西安交通大学 [7]
自动化研究所 [7]
沈阳自动化研究所 [7]
厦门大学 [3]
大连理工大学 [3]
更多...
内容类型
期刊论文 [51]
会议论文 [20]
学位论文 [5]
发表日期
2022 [1]
2021 [4]
2020 [3]
2019 [6]
2018 [3]
2017 [4]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共76条,第1-10条
帮助
已选(
0
)
清除
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
作者升序
作者降序
题名升序
题名降序
发表日期升序
发表日期降序
提交时间升序
提交时间降序
A comparison of contributions of individual muscle and combination muscles to interaction force prediction using KPCA-DRSN model
期刊论文
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2022, 卷号: 10
作者:
Lu, Wei
;
Gao, Lifu
;
Cao, Huibin
;
Li, Zebin
;
Wang, Daqing
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2022/12/23
surface electromyography
kernel principal component analysis
deep residual shrinkage network
mean impact value
interaction force prediction
Fault detection and diagnosis of the air handling unit via an enhanced kernel slow feature analysis approach considering the time-wise and batch-wise dynamics
期刊论文
ENERGY AND BUILDINGS, 2021, 卷号: 253, 页码: 22
作者:
Zhang, Hanyuan
;
Li, Chengdong
;
Li, Ding
;
Zhang, Yunchu
;
Peng, Wei
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2021/12/28
Air handling unit
Fault detection and diagnosis
Kernel slow feature analysis
Multiway data analysis
Discriminant analysis
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
KPCA与LTSA融合的转子故障数据集降维算法
期刊论文
兰州理工大学学报, 2021, 卷号: 47, 期号: 2021,47(01), 页码: 36-40
作者:
赵荣珍
;
陈昱吉
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2021/04/12
核主成分分析
局部切空间排列
数据降维
故障分类
A key performance indicator-relevant approach based on kernel entropy component regression model for industrial system
期刊论文
OPTIMAL CONTROL APPLICATIONS & METHODS, 2021, 页码: 1-16
作者:
Sun, Chengyuan
;
Kang HB(康浩博)
;
Ma HJ(马宏军)
;
Bai, Hua
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/09/09
fault detection
KECA
KECR
KPI-relevant
A new approach for fault diagnosis with full-scope simulator based on state information imaging in nuclear power plant
期刊论文
ANNALS OF NUCLEAR ENERGY, 2020, 卷号: 141
作者:
Yao, Yuantao
;
Wang, Jin
;
Xie, Min
;
Hu, Liqin
;
Wang, Jianye
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2020/11/26
NPP
Fault diagnosis
State information imaging
Machine learning
Kernel principal component analysis
F1 score
Principal component analysis or kernel principal component analysis based joint spectral subspace method for calibration transfer
期刊论文
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY, 2020, 卷号: 227, 页码: 16
作者:
Shan, Peng
;
Zhao, Yuhui
;
Wang, Qiaoyun
;
Ying, Yao
;
Peng, Silong
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2020/03/30
Calibration transfer
Principal component analysis (PCA)
Kernel principal component analysis (KPCA)
Multivariate calibration
Joint spectral subspace
Partial least squares (PLS)
Forecasting tourism demand with KPCA-based web search indexes
期刊论文
TOURISM ECONOMICS, 2020, 页码: 23
作者:
Xie, Gang
;
Li, Xin
;
Qian, Yatong
;
Wang, Shouyang
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/05/24
kernel principal component analysis
search query data
tourism demand forecasting
web search index
Ages and masses of 0.64 million red giant branch stars from the LAMOST Galactic Spectroscopic Survey
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2019, 卷号: 484, 期号: 4, 页码: 5315-5329
作者:
Wu, Yaqian
;
Xiang, Maosheng
;
Zhao, Gang
;
Bi, Shaolan
;
Liu, Xiaowei
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/03/10
Galaxy: abundances
Galaxy: fundamental parameters
stars
KPCA-Based Visual Fault Diagnosis for Nonlinear Industrial Process
会议论文
Shenyang, China, August 8-11, 2019
作者:
Gao HW(高宏伟)
;
Yu, Jiahui
;
Ju ZJ(琚兆杰)
收藏
  |  
浏览/下载:88/0
  |  
提交时间:2019/09/05
Fault diagnosis
TE process
KPCA
Visualization system
©版权所有 ©2017 CSpace - Powered by
CSpace