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Rinat Landman
Rinat Landman
Researcher, laborataory of process control and automation, Aalto university
在 aalto.fi 的电子邮件经过验证
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引用次数
引用次数
年份
Fault propagation analysis of oscillations in control loops using data-driven causality and plant connectivity
R Landman, J Kortela, Q Sun, SL Jämsä-Jounela
Computers & Chemical Engineering 71, 446-456, 2014
522014
Hybrid approach to casual analysis on a complex industrial system based on transfer entropy in conjunction with process connectivity information
R Landman, SL Jämsä-Jounela
Control Engineering Practice 53, 14-23, 2016
492016
Fault propagation analysis by implementing nearest neighbors method using process connectivity
R Landman, SL Jämsä-Jounela
IEEE Transactions on Control Systems Technology 27 (5), 2058-2067, 2018
142018
Hybrid causal analysis combining a nonparametric multiplicative regression causality estimator with process connectivity information
R Landman, SL Jämsä-Jounela
Control Engineering Practice 93, 104140, 2019
122019
Data-based causality analysis by exploiting process connectivity information
R Landman
Aalto University, 2019
72019
Fault propagation analysis by combining data-driven causal analysis and plant connectivity
R Landman, J Kortela, SL Jämsä-Jounela
Proceedings of the 2014 IEEE Emerging Technology and Factory Automation …, 2014
72014
Data-Driven Causal Analysis and its application on a Large-scale Board Machine
R Landman, SL Jämsä-Jounela
4*
A new approach for implementing transfer entropy using process topology
R Landman, SL Jämsä-Jounela
2016 3rd Conference on Control and Fault-Tolerant Systems (SysTol), 189-195, 2016
32016
A methodology for fault propagation analysis based on nearest neighbors method combined with the information on process connectivity
R Landman, SL Jämsä-Jounela
Automaatiopäivät, 1-6, 2017
2017
Fault Propagation Analysis by Implementing Nearest Neighbors Method Using Process Connectivity..................
R Landman, SL Jämsä-Jounela, JW Wang, YQ Liu, CY Sun, MHM Ramli, ...
Fault propagation analysis of oscillations in control loops by combining process causality and topology
R Landman, J Kortela, SL Jämsä-Jounela
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