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

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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

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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

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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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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

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Design and application of an advanced laser spectrometer for industrial process monitoring

Technical Digest. Summaries of papers presented at the Conference on Lasers and Electro-Optics. Postconference Edition. CLEO '99. Conference on Lasers and Electro-Optics (IEEE Cat. No.99CH37013) ◽

10.1109/cleo.1999.834402 ◽

2003 ◽

Author(s):

S.E. Moody ◽

D.L. Cunningham ◽

E.D.H. Green ◽

V. Matijasevic

Keyword(s):

Process Monitoring ◽

Industrial Process ◽

Laser Spectrometer ◽

Design And Application

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RASPBERRY PI BASED INDUSTRIAL PROCESS MONITORING BY USING WIRELESS COMMUNICATION

International Journal of Advance Engineering and Research Development ◽

10.21090/ijaerd.63736 ◽

2017 ◽

Vol 4 (04) ◽

Keyword(s):

Wireless Communication ◽

Process Monitoring ◽

Industrial Process ◽

Raspberry Pi

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Data-driven and Event-driven Integration Architecture for Plant-wide Industrial Process Monitoring and Control

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon.2018.8591323 ◽

2018 ◽

Author(s):

David Hastbacka ◽

Petri Kannisto ◽

Matti Vilkko

Keyword(s):

Process Monitoring ◽

Industrial Process ◽

Data Driven ◽

Monitoring And Control ◽

Integration Architecture ◽

Event Driven ◽

Process Monitoring And Control ◽

And Control

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Slow time-varying industrial process monitoring technology with recursive concurrent projection to latent Structures

2019 Chinese Control And Decision Conference (CCDC) ◽

10.1109/ccdc.2019.8832495 ◽

2019 ◽

Author(s):

Zhongying Xu ◽

Xiangyu Kong ◽

Xiaowei Feng ◽

Boyang Du

Keyword(s):

Process Monitoring ◽

Industrial Process ◽

Time Varying ◽

Slow Time ◽

Monitoring Technology ◽

Projection To Latent Structures ◽

Latent Structures

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Improved process monitoring based on global–local manifold analysis and statistical local approach for industrial process

Journal of Process Control ◽

10.1016/j.jprocont.2018.12.016 ◽

2019 ◽

Vol 75 ◽

pp. 107-119 ◽

Cited By ~ 2

Author(s):

Chengjun Zhan ◽

Shuanghong Li ◽

Yupu Yang

Keyword(s):

Process Monitoring ◽

Industrial Process ◽

Local Approach

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