A robust meta‐method for interpreting the out‐of‐control signal of multivariate control charts using artificial neural networks

Quality and Reliability Engineering International ◽

10.1002/qre.2955 ◽

2021 ◽

Author(s):

Sotiris Bersimis ◽

Aggeliki Sgora ◽

Stelios Psarakis

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Control Charts ◽

Control Signal ◽

Multivariate Control Charts ◽

Artificial Neural ◽

Multivariate Control

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Fault Diagnosis in Multivariate Control Charts Using Artificial Neural Networks

Quality and Reliability Engineering International ◽

10.1002/qre.689 ◽

2005 ◽

Vol 21 (8) ◽

pp. 825-840 ◽

Cited By ~ 75

Author(s):

Seyed Taghi Akhavan Niaki ◽

Babak Abbasi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Control Charts ◽

Multivariate Control Charts ◽

Artificial Neural ◽

Multivariate Control

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Pattern recognition of control charts using artificial neural networks—analyzing the effect of the training parameters

Journal of Intelligent Manufacturing ◽

10.1023/b:jims.0000037713.74607.00 ◽

2004 ◽

Vol 15 (5) ◽

pp. 635-644 ◽

Cited By ~ 28

Author(s):

Mahmoud A. Barghash ◽

Nader S. Santarisi

Keyword(s):

Neural Networks ◽

Pattern Recognition ◽

Artificial Neural Networks ◽

Control Charts ◽

Artificial Neural

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Artificial Neural Networks as Alternatives to Statistical Quality Control Charts in Manufacturing Processes

Computational Statistics ◽

10.1007/978-3-642-48678-4_39 ◽

1992 ◽

pp. 309-315 ◽

Cited By ~ 1

Author(s):

David Kopcso ◽

Leo Pipino ◽

William Rybolt

Keyword(s):

Neural Networks ◽

Quality Control ◽

Artificial Neural Networks ◽

Control Charts ◽

Statistical Quality Control ◽

Manufacturing Processes ◽

Statistical Quality ◽

Quality Control Charts ◽

Artificial Neural

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The application of artificial neural networks to quality control charts

[1993] Proceedings of the Twenty-sixth Hawaii International Conference on System Sciences ◽

10.1109/hicss.1993.284241 ◽

2002 ◽

Author(s):

D. Kopcso ◽

L. Pipino ◽

W. Rybolt

Keyword(s):

Neural Networks ◽

Quality Control ◽

Artificial Neural Networks ◽

Control Charts ◽

Quality Control Charts ◽

Artificial Neural

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Integration of Multivariate Control Charts and Neural Networks to Determine the Faults of Quality Characteristic(s) in a Multivariate Process

2007 11th International Conference on Computer Supported Cooperative Work in Design ◽

10.1109/cscwd.2007.4281580 ◽

2007 ◽

Author(s):

Yuehjen E. Shao ◽

Chien-Ho Wu ◽

Bin-Yih Ho ◽

Bo-Sheng Hsu

Keyword(s):

Neural Networks ◽

Control Charts ◽

Quality Characteristic ◽

Multivariate Process ◽

Multivariate Control Charts ◽

Multivariate Control

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Change point detection with multivariate control charts by artificial neural network

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-009-2193-6 ◽

2009 ◽

Vol 97 (9-12) ◽

pp. 3179-3190 ◽

Cited By ~ 12

Author(s):

Farzaneh Ahmadzadeh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Change Point ◽

Control Charts ◽

Change Point Detection ◽

Multivariate Control Charts ◽

Artificial Neural ◽

Point Detection ◽

Multivariate Control

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Fault detection and diagnosis using statistical control charts and artificial neural networks

Artificial Intelligence in Engineering ◽

10.1016/s0954-1810(96)00039-8 ◽

1998 ◽

Vol 12 (1-2) ◽

pp. 35-47 ◽

Cited By ~ 28

Author(s):

R.P. Leger ◽

Wm.J. Garland ◽

W.F.S. Poehlman

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Detection ◽

Control Charts ◽

Fault Detection And Diagnosis ◽

Statistical Control ◽

Artificial Neural ◽

Detection And Diagnosis

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Back propagation artificial neural networks for the analysis of quality control charts

Computers & Industrial Engineering ◽

10.1016/0360-8352(93)90305-h ◽

1993 ◽

Vol 25 (1-4) ◽

pp. 397-400 ◽

Cited By ~ 20

Author(s):

Tomas Velasco ◽

Mark R. Rowe

Keyword(s):

Neural Networks ◽

Quality Control ◽

Artificial Neural Networks ◽

Control Charts ◽

Back Propagation ◽

Quality Control Charts ◽

Artificial Neural

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Artificial Neural Networks as a Means for Making Process Control Charts User Friendly

Advances in Intelligent Systems and Computing - Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017 ◽

10.1007/978-3-319-64465-3_17 ◽

2017 ◽

pp. 168-178 ◽

Cited By ~ 1

Author(s):

Izabela Rojek ◽

Agnieszka Kujawińska ◽

Adam Hamrol ◽

Michał Rogalewicz

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Process Control ◽

Control Charts ◽

Process Control Charts ◽

Artificial Neural ◽

User Friendly

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Artificial neural networks for identifying the signals of multivariate EWMA control charts

2010 10th International Conference on Intelligent Systems Design and Applications ◽

10.1109/isda.2010.5687226 ◽

2010 ◽

Cited By ~ 1

Author(s):

Francisco Aparisi ◽

Andres Carrion

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Control Charts ◽

Artificial Neural

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