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Distributed dictionary learning for industrial process monitoring with big data
Applied Intelligence
◽
10.1007/s10489-020-02128-x
◽
2021
◽
Author(s):
Keke Huang
◽
Ke Wei
◽
Yonggang Li
◽
Chunhua Yang
Keyword(s):
Big Data
◽
Process Monitoring
◽
Dictionary Learning
◽
Industrial Process
Download Full-text
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Label propagation dictionary learning based process monitoring method for industrial process with between-mode similarity
Science China Information Sciences
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10.1007/s11432-021-3341-y
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Vol 65
(1)
◽
Author(s):
Keke Huang
◽
Shijun Tao
◽
Yishun Liu
◽
Chunhua Yang
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Weihua Gui
Keyword(s):
Process Monitoring
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Dictionary Learning
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Label Propagation
◽
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Industrial Process Monitoring in the Big Data/Industry 4.0 Era: from Detection, to Diagnosis, to Prognosis
Processes
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10.3390/pr5030035
◽
2017
◽
Vol 5
(4)
◽
pp. 35
◽
Cited By ~ 72
Author(s):
Marco Reis
◽
Geert Gins
Keyword(s):
Big Data
◽
Process Monitoring
◽
Industry 4.0
◽
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A Robust Transfer Dictionary Learning Algorithm for Industrial Process Monitoring
Engineering
◽
10.1016/j.eng.2020.08.028
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2021
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Author(s):
Chunhua Yang
◽
Huiping Liang
◽
Keke Huang
◽
Yonggang Li
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Weihua Gui
Keyword(s):
Process Monitoring
◽
Dictionary Learning
◽
Learning Algorithm
◽
Industrial Process
Download Full-text
A geometry constrained dictionary learning method for industrial process monitoring
Information Sciences
◽
10.1016/j.ins.2020.08.025
◽
2021
◽
Vol 546
◽
pp. 265-282
Author(s):
Keke Huang
◽
Haofei Wen
◽
Han Liu
◽
Chunhua Yang
◽
Weihua Gui
Keyword(s):
Process Monitoring
◽
Dictionary Learning
◽
Industrial Process
◽
Learning Method
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Industrial process monitoring by synthetic view
2007 European Control Conference (ECC)
◽
10.23919/ecc.2007.7068995
◽
2007
◽
Author(s):
Antonio Dourado
◽
Paulo Barbeiro
◽
Edgar Ferreira
◽
Jorge Henriques
◽
Maria Antonio
◽
...
Keyword(s):
Process Monitoring
◽
Industrial Process
◽
Synthetic View
Download Full-text
Autoencoder embedded dictionary learning for nonlinear industrial process fault diagnosis
Journal of Process Control
◽
10.1016/j.jprocont.2021.02.002
◽
2021
◽
Vol 101
◽
pp. 24-34
Author(s):
Yanxia Li
◽
Yi Chai
◽
Hongpeng Yin
Keyword(s):
Fault Diagnosis
◽
Dictionary Learning
◽
Industrial Process
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Process Fault Diagnosis
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Dynamic industrial process monitoring based on concurrent fast and slow‐time‐varying feature analytics
The Canadian Journal of Chemical Engineering
◽
10.1002/cjce.24207
◽
2021
◽
Author(s):
Chi Zhang
◽
Jie Dong
◽
Kaixiang Peng
◽
Peihang You
Keyword(s):
Process Monitoring
◽
Industrial Process
◽
Time Varying
◽
Slow Time
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Deep Learning of Latent Variable Models for Industrial Process Monitoring
IEEE Transactions on Industrial Informatics
◽
10.1109/tii.2021.3134251
◽
2021
◽
pp. 1-1
Author(s):
Xiangyin Kong
◽
Zhiqiang Ge
Keyword(s):
Deep Learning
◽
Process Monitoring
◽
Latent Variable
◽
Industrial Process
◽
Latent Variable Models
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Mobility Support and Service Discovery for Industrial Process Monitoring
Studies in Big Data - Internet of Things: Novel Advances and Envisioned Applications
◽
10.1007/978-3-319-53472-5_3
◽
2017
◽
pp. 57-85
Author(s):
Tuan Dang
◽
Pascale Minet
◽
Patrick Bellot
◽
Christophe Mozzati
◽
Erwan Livolant
Keyword(s):
Process Monitoring
◽
Service Discovery
◽
Industrial Process
◽
Mobility Support
Download Full-text
Multi-dimensional advances for industrial process monitoring
Nuclear Engineering and Design
◽
10.1016/j.nucengdes.2010.09.014
◽
2011
◽
Vol 241
(6)
◽
pp. 1937
Author(s):
Robert B. Hammond
Keyword(s):
Process Monitoring
◽
Industrial Process
Download Full-text
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