A hybrid learning-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

International Journal of Production Research ◽

10.1080/00207540801942208 ◽

2009 ◽

Vol 47 (15) ◽

pp. 4077-4108 ◽

Author(s):

Jianbo Yu ◽

Lifeng Xi

Keyword(s):

Hybrid Learning ◽

Manufacturing Processes ◽

Monitoring And Diagnosis ◽

Control Signals ◽

On Line ◽

Multivariate Manufacturing

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A neural network ensemble-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes

Expert Systems with Applications ◽

10.1016/j.eswa.2007.10.003 ◽

2009 ◽

Vol 36 (1) ◽

pp. 909-921 ◽

Author(s):

Jian-bo Yu ◽

Li-feng Xi

Keyword(s):

Neural Network ◽

Manufacturing Processes ◽

Neural Network Ensemble ◽

Monitoring And Diagnosis ◽

Control Signals ◽

On Line ◽

Multivariate Manufacturing

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On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model

Neurocomputing ◽

10.1016/j.neucom.2010.12.020 ◽

2011 ◽

Vol 74 (12-13) ◽

pp. 2083-2095 ◽

Author(s):

Mojtaba Salehi ◽

Ardeshir Bahreininejad ◽

Isa Nakhai

Keyword(s):

Hybrid Learning ◽

Manufacturing Processes ◽

Control Signals ◽

On Line ◽

Multivariate Manufacturing ◽

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Diagnosis of Out-of-Control Signals in Multivariate Manufacturing Processes with Random Forests

Advanced Manufacturing and Automation VIII - Lecture Notes in Electrical Engineering ◽

10.1007/978-981-13-2375-1_33 ◽

2018 ◽

pp. 262-267

Author(s):

Zheng Jian ◽

Beixin Xia ◽

Chen Wang ◽

Zhaoyang Li

Keyword(s):

Random Forests ◽

Manufacturing Processes ◽

Control Signals ◽

Multivariate Manufacturing

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Identifying source(s) of out-of-control signals in multivariate manufacturing processes using selective neural network ensemble

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2008.05.009 ◽

2009 ◽

Vol 22 (1) ◽

pp. 141-152 ◽

Author(s):

Jianbo Yu ◽

Lifeng Xi ◽

Xiaojun Zhou

Keyword(s):

Neural Network ◽

Manufacturing Processes ◽

Neural Network Ensemble ◽

Control Signals ◽

Multivariate Manufacturing

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On-line Measurements and Control of Viable Cell Density in Cell Culture Manufacturing Processes using Radio-frequency Impedance

Cytotechnology ◽

10.1007/s10616-005-3974-x ◽

2006 ◽

Vol 50 (1-3) ◽

pp. 35-48 ◽

Author(s):

John P. Carvell ◽

Jason E. Dowd

Keyword(s):

Cell Culture ◽

Radio Frequency ◽

Cell Density ◽

Viable Cell ◽

Viable Cell Density ◽

Manufacturing Processes ◽

On Line ◽

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On-line valve monitoring and diagnosis

IEEE Computer Applications in Power ◽

10.1109/67.53201 ◽

1990 ◽

Vol 3 (1) ◽

pp. 25-29

Author(s):

J. Schreurs ◽

F. Bednar

Keyword(s):

Monitoring And Diagnosis ◽

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New capability indices for evaluating the performance of multivariate manufacturing processes

Quality and Reliability Engineering International ◽

10.1002/qre.1024 ◽

2009 ◽

Vol 26 (1) ◽

pp. 3-15 ◽

Author(s):

Jeh-Nan Pan ◽

Chun-Yi Lee

Keyword(s):

Manufacturing Processes ◽

Capability Indices ◽

Multivariate Manufacturing

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Discrete-Event Based Monitoring and Diagnosis of Manufacturing Processes

1993 American Control Conference ◽

10.23919/acc.1993.4793123 ◽

1993 ◽

Author(s):

Sujeet Chand

Keyword(s):

Discrete Event ◽

Manufacturing Processes ◽

Monitoring And Diagnosis ◽

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On Line Monitoring and Diagnosis of the Operation of a Hybrid CSTR by Using PCA Models

Computer Aided Chemical Engineering - 10th International Symposium on Process Systems Engineering: Part A ◽

10.1016/s1570-7946(09)70591-7 ◽

2009 ◽

pp. 1203-1208

Author(s):

Luis G. Bergh ◽

David Gómez

Keyword(s):

Monitoring And Diagnosis ◽

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Using Minimum Quantization Error chart for the monitoring of process states in multivariate manufacturing processes

Computers & Industrial Engineering ◽

10.1016/j.cie.2009.06.009 ◽

2009 ◽

Vol 57 (4) ◽

pp. 1300-1312 ◽

Author(s):

Jian-Bo Yu ◽

Shijin Wang

Keyword(s):

Quantization Error ◽

Manufacturing Processes ◽

Multivariate Manufacturing

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