Predictive warning system for nonlinear process plants (English)
- New search for: Khan, Mohammad Aminul Islam
- New search for: Imtiaz, Syed
- New search for: Khan, Faisal
- New search for: Khan, Mohammad Aminul Islam
- New search for: Imtiaz, Syed
- New search for: Khan, Faisal
In:
Journal of Process Control
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100
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1-10
;
2021
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ISSN:
- Article (Journal) / Electronic Resource
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Title:Predictive warning system for nonlinear process plants
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Contributors:
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Published in:Journal of Process Control ; 100 ; 1-10
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Publisher:
- New search for: Elsevier Ltd
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Publication date:2021-01-25
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Size:10 pages
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Electronic Resource
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Language:English
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Keywords:
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Source:
Table of contents – Volume 100
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Predictive warning system for nonlinear process plantsKhan, Mohammad Aminul Islam / Imtiaz, Syed / Khan, Faisal et al. | 2021
- 11
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Sensor location for nonlinear state estimationRodriguez, Leandro P.F. / Tupaz, Jhovany A. / Sánchez, Mabel C. et al. | 2021
- 20
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Bayesian network for dynamic variable structure learning and transfer modeling of probabilistic soft sensorZeng, Lingquan / Ge, Zhiqiang et al. | 2021
- 30
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A novel rate of penetration prediction model with identified condition for the complex geological drilling processZhou, Yang / Chen, Xin / Zhao, Haibin / Wu, Min / Cao, Weihua / Zhang, Yongchun / Liu, Haibo et al. | 2021
- 41
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Real-time reconciled simulation as decision support tool for process operationGalan, Anibal / De Prada, Cesar / Gutierrez, Gloria / Sarabia, Daniel / Gonzalez, Rafael et al. | 2021
- 65
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A multigroup framework for fault detection and diagnosis in large-scale multivariate systemsLuo, Lijia / Peng, Xin / Tong, Chudong et al. | 2021
- 80
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Robust model predictive control via multi-scenario reference trajectory optimization with closed-loop predictionLi, Hao / Swartz, Christopher L.E. et al. | 2021
- ii
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Editorial Board| 2021