-
1
-
-
33744770587
-
-
Aparisi, F., Avendaño, G., & Sanz, J. (2006). Techniques to interpret T2 control chart signals. IIE Transactions, 38(8), 647–657
-
Aparisi, F., Avendaño, G., & Sanz, J. (2006). Techniques to interpret T2 control chart signals. IIE Transactions, 38(8), 647–657
-
-
-
-
2
-
-
4344709594
-
Pattern recognition of control charts using artificial neural networks—analyzing the effect of the training parameters
-
Barghash, M. A., & Santarisi, N. S. (2004). Pattern recognition of control charts using artificial neural networks—analyzing the effect of the training parameters. Journal of Intelligent Manufacturing, 15(5), 635–644.
-
(2004)
Journal of Intelligent Manufacturing
, vol.15
, Issue.5
, pp. 635-644
-
-
Barghash, M.A.1
Santarisi, N.S.2
-
3
-
-
0003410292
-
-
Prentice Hall, Englewood Cliffs, NJ
-
Box, G. E. P., Jenkins, G. M., & Reinsel, G. C. (2008). Time series analysis: Forecasting and control (4th ed.). Englewood Cliffs, NJ: Prentice Hall.
-
(2008)
Time series analysis: Forecasting and control
-
-
Box, G.E.P.1
Jenkins, G.M.2
Reinsel, G.C.3
-
4
-
-
0031100898
-
A neural network approach for the analysis of control chart patterns
-
Cheng, C.-S. (1997). A neural network approach for the analysis of control chart patterns. International Journal of Production Research, 35(3), 667–697.
-
(1997)
International Journal of Production Research
, vol.35
, Issue.3
, pp. 667-697
-
-
Cheng, C.-S.1
-
5
-
-
45149101726
-
Identifying the source of variance shifts in the multivariate process using neural networks and support vector machines
-
Cheng, C.-S., & Cheng, H.-P. (2008). Identifying the source of variance shifts in the multivariate process using neural networks and support vector machines. Expert Systems with Applications, 35(1–2), 198–206.
-
(2008)
Expert Systems with Applications
, vol.35
, Issue.1-2
, pp. 198-206
-
-
Cheng, C.-S.1
Cheng, H.-P.2
-
6
-
-
0037146388
-
Support vector machines for recognizing shifts in correlated and other manufacturing processes
-
Chinnam, R. B. (2002). Support vector machines for recognizing shifts in correlated and other manufacturing processes. International Journal of Production Research, 40(17), 4449–4466.
-
(2002)
International Journal of Production Research
, vol.40
, Issue.17
, pp. 4449-4466
-
-
Chinnam, R.B.1
-
7
-
-
21344465385
-
Bootstrap inference for a first-order autoregression with positive innovations
-
Datta, S., & McCormick, W. P. (1995). Bootstrap inference for a first-order autoregression with positive innovations. Journal of the American Statistical Association, 90(432), 1289–1300.
-
(1995)
Journal of the American Statistical Association
, vol.90
, Issue.432
, pp. 1289-1300
-
-
Datta, S.1
McCormick, W.P.2
-
8
-
-
0023803016
-
Performance of the control chart trend rule under linear shift
-
Davis, R. B., & Woodall, W. H. (1988). Performance of the control chart trend rule under linear shift. Journal of Quality Technology, 20(4), 260–262.
-
(1988)
Journal of Quality Technology
, vol.20
, Issue.4
, pp. 260-262
-
-
Davis, R.B.1
Woodall, W.H.2
-
9
-
-
0024123145
-
-
DeSieno, D. (1988). Adding a conscience to competitive learning. In Proceedings of international joint conference on neural networks (pp. 117–124). San Diego, CA: IEEE Press
-
DeSieno, D. (1988). Adding a conscience to competitive learning. In Proceedings of international joint conference on neural networks (pp. 117–124). San Diego, CA: IEEE Press.
-
-
-
-
10
-
-
84869492326
-
Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes
-
Du, S. C., & Lv, J. (2013). Minimal Euclidean distance chart based on support vector regression for monitoring mean shifts of auto-correlated processes. International Journal of Production Economics, 141(1), 377–387.
-
(2013)
International Journal of Production Economics
, vol.141
, Issue.1
, pp. 377-387
-
-
Du, S.C.1
Lv, J.2
-
11
-
-
71749085820
-
A proposed framework for control chart pattern recognition in multivariate process using artificial neural networks
-
El-Midany, T. T., El-Baz, M. A., & Abd-Elwahed, M. S. (2010). A proposed framework for control chart pattern recognition in multivariate process using artificial neural networks. Expert Systems with Applications, 37(2), 1035–1042.
-
(2010)
Expert Systems with Applications
, vol.37
, Issue.2
, pp. 1035-1042
-
-
El-Midany, T.T.1
El-Baz, M.A.2
Abd-Elwahed, M.S.3
-
13
-
-
84888639250
-
Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization
-
Gu, N., Cao, Z. Q., Xie, L. J., et al. (2012). Identification of concurrent control chart patterns with singular spectrum analysis and learning vector quantization. Journal of Intelligent Manufacturing,. doi:10.1007/s10845-012-0659-0.
-
(2012)
Journal of Intelligent Manufacturing
-
-
Gu, N.1
Cao, Z.Q.2
Xie, L.J.3
-
14
-
-
0013527549
-
Robustness of the neural network based control chart pattern recognition system to non-normality
-
Guh, R.-S. (2002). Robustness of the neural network based control chart pattern recognition system to non-normality. International Journal of Quality and Reliability Management, 19(1), 97–112.
-
(2002)
International Journal of Quality and Reliability Management
, vol.19
, Issue.1
, pp. 97-112
-
-
Guh, R.-S.1
-
15
-
-
2142653625
-
Optimizing feedforward neural networks for control chart pattern recognition through genetic algorithms
-
Guh, R.-S. (2004). Optimizing feedforward neural networks for control chart pattern recognition through genetic algorithms. International Journal of Pattern Recognition and Artificial Intelligence, 18(2), 75–99.
-
(2004)
International Journal of Pattern Recognition and Artificial Intelligence
, vol.18
, Issue.2
, pp. 75-99
-
-
Guh, R.-S.1
-
16
-
-
23144467659
-
A hybrid learning-based model for on-line detection and analysis of control chart patterns
-
Guh, R.-S. (2005). A hybrid learning-based model for on-line detection and analysis of control chart patterns. Computers and Industrial Engineering, 49(1), 35–62.
-
(2005)
Computers and Industrial Engineering
, vol.49
, Issue.1
, pp. 35-62
-
-
Guh, R.-S.1
-
17
-
-
46149100082
-
Real-time recognition of control chart patterns in autocorrelated manufacturing processes using a learning vector quantization network-based approach
-
Guh, R.-S. (2008). Real-time recognition of control chart patterns in autocorrelated manufacturing processes using a learning vector quantization network-based approach. International Journal of Production Research, 46(14), 3959–3991.
-
(2008)
International Journal of Production Research
, vol.46
, Issue.14
, pp. 3959-3991
-
-
Guh, R.-S.1
-
18
-
-
0032673229
-
A neural network based model for abnormal pattern recognition of control charts
-
Guh, R.-S., & Hsieh, Y.-C. (1999). A neural network based model for abnormal pattern recognition of control charts. Computers and Industrial Engineering, 36(1), 97–108.
-
(1999)
Computers and Industrial Engineering
, vol.36
, Issue.1
, pp. 97-108
-
-
Guh, R.-S.1
Hsieh, Y.-C.2
-
19
-
-
50349096476
-
An effective application of decision tree learning for online detection of mean shifts in multivariate control charts
-
Guh, R. S., & Shiue, Y. R. (2008). An effective application of decision tree learning for online detection of mean shifts in multivariate control charts. Computers and Industrial Engineering, 55(2), 475–493.
-
(2008)
Computers and Industrial Engineering
, vol.55
, Issue.2
, pp. 475-493
-
-
Guh, R.S.1
Shiue, Y.R.2
-
20
-
-
0033221564
-
A neural network approach to characterize pattern parameters in process control charts
-
Guh, R.-S., & Tannock, J. D. T. (1999). A neural network approach to characterize pattern parameters in process control charts. Journal of Intelligent Manufacturing, 10(5), 449–462.
-
(1999)
Journal of Intelligent Manufacturing
, vol.10
, Issue.5
, pp. 449-462
-
-
Guh, R.-S.1
Tannock, J.D.T.2
-
21
-
-
85027944759
-
Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques
-
He, S.-G., He, Z., & Wang, G. A. (2013). Online monitoring and fault identification of mean shifts in bivariate processes using decision tree learning techniques. Journal of Intelligent Manufacturing, 24, 25–34.
-
(2013)
Journal of Intelligent Manufacturing
, vol.24
, pp. 25-34
-
-
He, S.-G.1
He, Z.2
Wang, G.A.3
-
22
-
-
84947021729
-
-
Hsu, C.-W., Chang, C.-C., & Lin, C.-J. (2010). A practical guide to support vector classification. Technical report: Department of Computer Science and Information Engineering, National Taiwan University
-
Hsu, C.-W., Chang, C.-C., & Lin, C.-J. (2010). A practical guide to support vector classification. Technical report: Department of Computer Science and Information Engineering, National Taiwan University.
-
-
-
-
23
-
-
0005422806
-
Multilayer perceptions for detecting cyclic data on control charts
-
Hwarng, H. B. (1995). Multilayer perceptions for detecting cyclic data on control charts. International Journal of Production Research, 33(11), 3101–3117.
-
(1995)
International Journal of Production Research
, vol.33
, Issue.11
, pp. 3101-3117
-
-
Hwarng, H.B.1
-
24
-
-
1342265964
-
-
Hwarng, H. B. (2004). Detecting process mean shift in the presence of autocorrelation: A neural-network based monitoring scheme. International Journal of Production Research, 42(3), 573– 595
-
Hwarng, H. B. (2004). Detecting process mean shift in the presence of autocorrelation: A neural-network based monitoring scheme. International Journal of Production Research, 42(3), 573– 595.
-
-
-
-
25
-
-
27844603392
-
Simultaneous identification of mean shift and correlation change in AR(1) processes
-
Hwarng, H. B. (2005). Simultaneous identification of mean shift and correlation change in AR(1) processes. International Journal of Production Research, 43(9), 1761–1783.
-
(2005)
International Journal of Production Research
, vol.43
, Issue.9
, pp. 1761-1783
-
-
Hwarng, H.B.1
-
26
-
-
0027589082
-
X-bar control chart pattern identification through efficient off-line neural network training
-
Hwarng, H. B., & Hubele, N. F. (1993a). X-bar control chart pattern identification through efficient off-line neural network training. IIE Transactions, 25(3), 27–40.
-
(1993)
IIE Transactions
, vol.25
, Issue.3
, pp. 27-40
-
-
Hwarng, H.B.1
Hubele, N.F.2
-
27
-
-
0027579104
-
Back-propagation pattern recognizers for X-bar control charts: Methodology and performance
-
Hwarng, H. B., & Hubele, N. F. (1993b). Back-propagation pattern recognizers for X-bar control charts: Methodology and performance. Computers and Industrial Engineering, 24(2), 219–235.
-
(1993)
Computers and Industrial Engineering
, vol.24
, Issue.2
, pp. 219-235
-
-
Hwarng, H.B.1
Hubele, N.F.2
-
28
-
-
70450233892
-
Recognizing control chart patterns with neural network and numerical fitting
-
Jiang, P. Y., Liu, D. Y., & Zeng, Z. J. (2009). Recognizing control chart patterns with neural network and numerical fitting. Journal of Intelligent Manufacturing, 20, 625–635.
-
(2009)
Journal of Intelligent Manufacturing
, vol.20
, pp. 625-635
-
-
Jiang, P.Y.1
Liu, D.Y.2
Zeng, Z.J.3
-
29
-
-
84947027243
-
-
Kohonen, T. (2001). Self-organizing maps, 3rd extended edition. In Springer series in information sciences (Vol. 30). Springer, Berlin, Heidelberg, New York
-
Kohonen, T. (2001). Self-organizing maps, 3rd extended edition. In Springer series in information sciences (Vol. 30). Springer, Berlin, Heidelberg, New York.
-
-
-
-
30
-
-
0024124595
-
-
Kohonen, T., Barna, G., & Chrisley, R. (1988). Statistical pattern recognition with neural networks: Benchmarking studies. In Proceedings of international joint conference on neural networks (pp. 161–168). San Diego, CA: IEEE Press
-
Kohonen, T., Barna, G., & Chrisley, R. (1988). Statistical pattern recognition with neural networks: Benchmarking studies. In Proceedings of international joint conference on neural networks (pp. 161–168). San Diego, CA: IEEE Press.
-
-
-
-
31
-
-
0002748218
-
How neural nets work
-
Anderson ZA, (ed), American Institute of Physics, New York
-
Lapedes, A., & Farber, R. (1988). How neural nets work. In Z. A. Anderson (Ed.), Neural information processing systems (pp. 442–456). New York: American Institute of Physics.
-
(1988)
Neural information processing systems
, pp. 442-456
-
-
Lapedes, A.1
Farber, R.2
-
32
-
-
80054955956
-
Effective recognition of control chart patterns in autocorrelated data using a support vector machine based approach
-
Lin, S.-Y., Guh, R.-S., & Shiue, Y.-R. (2011). Effective recognition of control chart patterns in autocorrelated data using a support vector machine based approach. Computers and Industrial Engineering, 61(4), 1123–1134.
-
(2011)
Computers and Industrial Engineering
, vol.61
, Issue.4
, pp. 1123-1134
-
-
Lin, S.-Y.1
Guh, R.-S.2
Shiue, Y.-R.3
-
33
-
-
0346276741
-
Analysis of variations in a multi-variate process using neural networks
-
Low, C., Hsu, C. M., & Yu, F. J. (2003). Analysis of variations in a multi-variate process using neural networks. International Journal of Advanced Manufacturing Technology, 22(11–12), 911–921.
-
(2003)
International Journal of Advanced Manufacturing Technology
, vol.22
, Issue.11-12
, pp. 911-921
-
-
Low, C.1
Hsu, C.M.2
Yu, F.J.3
-
34
-
-
84947042131
-
-
Lucy-Bouler, T. L. (1993). Application to forecasting of neural network recognition of shifts and trends in quality control data. In Proceedings of world congress on neural networks (pp. 631–633). Portland, UK: IEEE Press
-
Lucy-Bouler, T. L. (1993). Application to forecasting of neural network recognition of shifts and trends in quality control data. In Proceedings of world congress on neural networks (pp. 631–633). Portland, UK: IEEE Press.
-
-
-
-
35
-
-
84947023430
-
-
Minitab Inc. (2006). Meet MINITAB release 15. State College, PA: Minitab
-
Minitab Inc. (2006). Meet MINITAB release 15. State College, PA: Minitab.
-
-
-
-
37
-
-
28844486614
-
-
Niaki, S. T. A., & Abbasi, B. (2005). Fault diagnosis in multivariate control charts using artificial neural networks. International Quality and Reliability Engineering, 21(8), 825–840
-
Niaki, S. T. A., & Abbasi, B. (2005). Fault diagnosis in multivariate control charts using artificial neural networks. International Quality and Reliability Engineering, 21(8), 825–840.
-
-
-
-
38
-
-
34248138917
-
Using recurrent neural networks to detect changes in autocorrelated manufacturing processes for quality monitoring
-
Pacella, M., & Semeraro, Q. (2007). Using recurrent neural networks to detect changes in autocorrelated manufacturing processes for quality monitoring. Computers and Industrial Engineering, 52(4), 502–520.
-
(2007)
Computers and Industrial Engineering
, vol.52
, Issue.4
, pp. 502-520
-
-
Pacella, M.1
Semeraro, Q.2
-
39
-
-
0034313880
-
Optimizing the parameters of multilayered feedforward neural networks through Taguchi design of experiments
-
Packianather, M. S., Drake, P. R., & Rowlands, H. (2000). Optimizing the parameters of multilayered feedforward neural networks through Taguchi design of experiments. Quality and Reliability Engineering International, 16(6), 461–473.
-
(2000)
Quality and Reliability Engineering International
, vol.16
, Issue.6
, pp. 461-473
-
-
Packianather, M.S.1
Drake, P.R.2
Rowlands, H.3
-
41
-
-
84949698279
-
Average run lengths for CUSUM control charts applied to residuals
-
Runger, G. C., Willemain, T. R., & Prabhu, S. (1995). Average run lengths for CUSUM control charts applied to residuals. Communications in Statistics-Theory and Methods, 24(1), 273–282.
-
(1995)
Communications in Statistics-Theory and Methods
, vol.24
, Issue.1
, pp. 273-282
-
-
Runger, G.C.1
Willemain, T.R.2
Prabhu, S.3
-
42
-
-
79956115039
-
On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model
-
Salehi, M., Bahreininejad, A., & Nakhai, I. (2011). On-line analysis of out-of-control signals in multivariate manufacturing processes using a hybrid learning-based model. Neurocomputing, 74(12–13), 2083–2095.
-
(2011)
Neurocomputing
, vol.74
, Issue.12-13
, pp. 2083-2095
-
-
Salehi, M.1
Bahreininejad, A.2
Nakhai, I.3
-
43
-
-
0030270341
-
An expert system model for implementing statistical process control in the health care industry
-
Tsacle, E. G., & Aly, N. A. (1996). An expert system model for implementing statistical process control in the health care industry. Computers and Industrial Engineering, 31(1–2), 447–450.
-
(1996)
Computers and Industrial Engineering
, vol.31
, Issue.1-2
, pp. 447-450
-
-
Tsacle, E.G.1
Aly, N.A.2
-
44
-
-
67749088653
-
A hybrid approach for identification of concurrent control chart patterns
-
Wang, C.-H., Dong, T.-P., & Kuo, W. (2009). A hybrid approach for identification of concurrent control chart patterns. Journal of Intelligent Manufacturing, 20, 409–419.
-
(2009)
Journal of Intelligent Manufacturing
, vol.20
, pp. 409-419
-
-
Wang, C.-H.1
Dong, T.-P.2
Kuo, W.3
-
45
-
-
34547699508
-
Identification of control chart patterns using wavelet filtering and robust fuzzy clustering
-
Wang, C.-H., & Kuo, W. (2007). Identification of control chart patterns using wavelet filtering and robust fuzzy clustering. Journal of Intelligent Manufacturing, 18, 343–350.
-
(2007)
Journal of Intelligent Manufacturing
, vol.18
, pp. 343-350
-
-
Wang, C.-H.1
Kuo, W.2
-
46
-
-
0036610685
-
Mean shifts detection and classification in multivariate process: A neural-fuzzy approach
-
COI: 1:CAS:528:DC%2BD3sXitlSr
-
Wang, T. Y., & Chen, L. H. (2002). Mean shifts detection and classification in multivariate process: A neural-fuzzy approach. Journal of Intelligent Manufacturing, 13(3), 211–221.
-
(2002)
Journal of Intelligent Manufacturing
, vol.13
, Issue.3
, pp. 211-221
-
-
Wang, T.Y.1
Chen, L.H.2
-
47
-
-
84952149041
-
Run-length distributions of special-cause control charts for correlated processes
-
Wardell, D. G., Moskowitz, H., & Plante, R. D. (1994). Run-length distributions of special-cause control charts for correlated processes. Technometrics, 36(1), 3–17.
-
(1994)
Technometrics
, vol.36
, Issue.1
, pp. 3-17
-
-
Wardell, D.G.1
Moskowitz, H.2
Plante, R.D.3
-
48
-
-
84947035423
-
-
Western Electric Company. (1958). Statistical quality control handbook. Indianapolis: Western Electric
-
Western Electric Company. (1958). Statistical quality control handbook. Indianapolis: Western Electric.
-
-
-
-
49
-
-
53849102241
-
A neural network ensemble model for on-line monitoring of process mean and variance shifts in correlated processes
-
Wu, B., & Yu, J. B. (2009). A neural network ensemble model for on-line monitoring of process mean and variance shifts in correlated processes. Expert Systems with Applications, 36(1), 909–921.
-
(2009)
Expert Systems with Applications
, vol.36
, Issue.1
, pp. 909-921
-
-
Wu, B.1
Yu, J.B.2
-
50
-
-
1342308552
-
An augmented neural network classification approach to detecting mean shifts in correlated manufacturing process parameters
-
Zobel, C. W., Cook, D. F., & Nottingham, Q. J. (2004). An augmented neural network classification approach to detecting mean shifts in correlated manufacturing process parameters. International Journal of Production Research, 42(4), 741–758.
-
(2004)
International Journal of Production Research
, vol.42
, Issue.4
, pp. 741-758
-
-
Zobel, C.W.1
Cook, D.F.2
Nottingham, Q.J.3
|