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Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis
期刊论文
JOURNAL OF PROCESS CONTROL, 2019, 卷号: 77, 页码: 7-19
作者:
Shang, Jun
;
Zhou, Donghua
;
Chen, Maoyin
;
Ji, Hongquan
;
Zhang, Hanwen
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/11
Fault detection
Fault isolation
Incipient sensor fault
Conditionally
independent Bayesian learning
Recursive transformed component
statistical analysis
Nonlinear process monitoring using kernel dictionary learning with application to aluminum electrolysis process
期刊论文
CONTROL ENGINEERING PRACTICE, 2019, 卷号: 89, 页码: 94-102
作者:
Huang, Keke
;
Wen, Haofei
;
Ji, Hongquan
;
Cen, Lihui
;
Chen, Xiaofang
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2019/12/16
Nonlinear process
Process monitoring
Kernel dictionary learning
Fault
isolation
Incipient sensor fault isolation based on augmented Mahalanobis distance
期刊论文
CONTROL ENGINEERING PRACTICE, 2019, 卷号: 86, 页码: 144-154
作者:
Ji, Hongquan
;
Huang, Keke
;
Zhou, Donghua
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/11
Statistical process monitoring (SPM)
Incipient fault
Fault detection
and isolation
Augmented Mahalanobis distance (AMD)
Contribution
analysis
Generalized grouped contributions for hierarchical fault diagnosis with group Lasso
期刊论文
Control Engineering Practice, 2019, 卷号: 93
作者:
Shang, Chao
;
Ji, Hongquan
;
Huang, Xiaolin
;
Yang, Fan
;
Huang, Dexian
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/11
Fault diagnosis
Group Lasso
Grouped variable selection
Industrial alarm systems
Multivariate statistical process monitoring
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process
期刊论文
NEUROCOMPUTING, 2019, 卷号: 332, 页码: 305-319
作者:
Yang, Chunhua
;
Zhou, Longfei
;
Huang, Keke
;
Ji, Hongquan
;
Long, Cheng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/11
Multimode process monitoring
Outliers
Unsupervised learning
Robust
dictionary learning
Aluminum electrolysis process
Multimode process monitoring based on robust dictionary learning with application to aluminium electrolysis process
期刊论文
Neurocomputing, 2019, 卷号: Vol.332, 页码: 305-319
作者:
Chunhua Yang
;
Longfei Zhou
;
Keke Huang
;
Hongquan Ji
;
Cheng Long
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2019/12/13
Multimode
process
monitoring
Outliers
Unsupervised
learning
Robust
dictionary
learning
Aluminum
electrolysis
process
Smoothed Fisher discriminant analysis for incipient fault diagnosis
会议论文
44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018, October 20, 2018 - October 23, 2018
作者:
Ji, Hongquan
;
Wang, Youqing
;
Chen, Zhiwen
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/31
Increment-based recursive transformed component statistical analysis for monitoring blast furnace iron-making processes: An index-switching scheme
期刊论文
CONTROL ENGINEERING PRACTICE, 2018, 卷号: 77, 页码: 190-200
作者:
Shang, Jun
;
Chen, Maoyin
;
Zhang, Hanwen
;
Ji, Hongquan
;
Zhou, Donghua
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/12/11
Multivariate statistical process monitoring
Abnormality detection
Blast furnace iron-making process
Recursive transformed component
statistical analysis
Fault Detection and Isolation of the Brake Cylinder System for Electric Multiple Units
期刊论文
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2018, 卷号: 26, 期号: 5, 页码: 1744-1757
作者:
Zhou, Donghua
;
Ji, Hongquan
;
He, Xiao
;
Shang, Jun
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/11
Brake cylinder system
braking process
electric multiple unit (EMU)
fault detection and isolation (FDI)
high-speed train
intervariable
variance (IVV)
Exponential Smoothing Reconstruction Approach for Incipient Fault Isolation
期刊论文
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2018, 卷号: 57, 期号: 18, 页码: 6353-6363
作者:
Ji, Hongquan
;
He, Xiao
;
Shang, Jun
;
Zhou, Donghua
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/11
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