Regression-based analysis of multivariate non-Gaussian datasets for diagnosing abnormal situations in chemical processes

Jiusun Zeng; Lei Xie; Uwe Kruger; Chuanhou Gao

doi:10.1002/aic.14230

Regression-based analysis of multivariate non-Gaussian datasets for diagnosing abnormal situations in chemical processes

AIChE Journal ◽

10.1002/aic.14230 ◽

2013 ◽

Vol 60 (1) ◽

pp. 148-159 ◽

Cited By ~ 6

Author(s):

Jiusun Zeng ◽

Lei Xie ◽

Uwe Kruger ◽

Chuanhou Gao

Keyword(s):

Chemical Processes ◽

Non Gaussian

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Performance monitoring of non-gaussian chemical processes with modes-switching using globality-locality preserving projection

Frontiers of Chemical Science and Engineering ◽

10.1007/s11705-017-1675-6 ◽

2017 ◽

Vol 11 (3) ◽

pp. 429-439 ◽

Cited By ~ 2

Author(s):

Xin Peng ◽

Yang Tang ◽

Wenli Du ◽

Feng Qian

Keyword(s):

Performance Monitoring ◽

Chemical Processes ◽

Locality Preserving Projection ◽

Locality Preserving ◽

Non Gaussian

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Extended Moving Horizon Estimation for Chemical Processes under Non‐Gaussian Noises

AIChE Journal ◽

10.1002/aic.17545 ◽

2021 ◽

Author(s):

Mahshad Valipour ◽

Luis A. Ricardez‐Sandoval

Keyword(s):

Chemical Processes ◽

Moving Horizon Estimation ◽

Non Gaussian

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Soft Sensor Development Based on the Hierarchical Ensemble of Gaussian Process Regression Models for Nonlinear and Non-Gaussian Chemical Processes

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.6b00240 ◽

2016 ◽

Vol 55 (28) ◽

pp. 7704-7719 ◽

Cited By ~ 21

Author(s):

Li Wang ◽

Huaiping Jin ◽

Xiangguang Chen ◽

Jiayu Dai ◽

Kai Yang ◽

...

Keyword(s):

Gaussian Process ◽

Regression Models ◽

Gaussian Process Regression ◽

Soft Sensor ◽

Chemical Processes ◽

Sensor Development ◽

Non Gaussian

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Online quality prediction of nonlinear and non-Gaussian chemical processes with shifting dynamics using finite mixture model based Gaussian process regression approach

Chemical Engineering Science ◽

10.1016/j.ces.2012.07.018 ◽

2012 ◽

Vol 82 ◽

pp. 22-30 ◽

Cited By ~ 79

Author(s):

Jie Yu

Keyword(s):

Gaussian Process ◽

Mixture Model ◽

Gaussian Process Regression ◽

Finite Mixture Model ◽

Chemical Processes ◽

Finite Mixture ◽

Quality Prediction ◽

Model Based ◽

Regression Approach ◽

Non Gaussian

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Confidence interval estimation under the presence of non-Gaussian random errors: Applications to uncertainty analysis of chemical processes and simulation

Computers & Chemical Engineering ◽

10.1016/j.compchemeng.2009.11.004 ◽

2010 ◽

Vol 34 (3) ◽

pp. 298-305 ◽

Cited By ~ 6

Author(s):

V.R. Vásquez ◽

W.B. Whiting ◽

M.M. Meerschaert

Keyword(s):

Confidence Interval ◽

Uncertainty Analysis ◽

Interval Estimation ◽

Chemical Processes ◽

Random Errors ◽

Confidence Interval Estimation ◽

Non Gaussian

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Coupled Thermo-Hydro-Mechanical-Chemical Processes in Geo-Systems - Fundamentals, Modelling, Experiments and Applications

10.1016/s1571-9960(04)x8014-9 ◽

2004 ◽

Keyword(s):

Chemical Processes

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The chemical processes of memory

PsycEXTRA Dataset ◽

10.1037/e482512008-006 ◽

1963 ◽

Author(s):

E. Roy John

Keyword(s):

Chemical Processes

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Application of Repetitive SA Method to Scheduling Problems of Chemical Processes

Computers & Chemical Engineering ◽

10.1016/s0098-1354(97)00194-4 ◽

1997 ◽

Vol 21 (1-2) ◽

pp. S1087-S1092 ◽

Cited By ~ 2

Author(s):

Y Murakami

Keyword(s):

Chemical Processes ◽

Scheduling Problems

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Ab initio simulation of chemical processes in realistic environments

Journal of Molecular Structure THEOCHEM ◽

10.1016/s0166-1280(99)00013-5 ◽

1999 ◽

Vol 463 (1-2) ◽

pp. 111-112

Author(s):

M Parrinello

Keyword(s):

Ab Initio ◽

Chemical Processes ◽

Ab Initio Simulation

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Weakly Non-Gaussian Model of Wave Height Distribution for Nonlinear Random Waves

Coastal Engineering 1996 ◽

10.1061/9780784402429.067 ◽

1997 ◽

Author(s):

Nobuhito Mori ◽

Takashi Yasuda

Keyword(s):

Wave Height ◽

Gaussian Model ◽

Height Distribution ◽

Random Waves ◽

Wave Height Distribution ◽

Nonlinear Random Waves ◽

Non Gaussian

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