A fault detection for a correlated process with the use of SPC/EPC/NN scheme

2009 4th International Conference on Innovative Computing, Information and Control, ICICIC 2009

Volumn , Issue , 2009, Pages 240-243

  Shao, Yuehjen E ^a  

^a FU JEN CATHOLIC UNIVERSITY   (Taiwan)

Author keywords

EPC; Fault detection; Neural networks; SPC

Indexed keywords

ENGINEERING PROCESS CONTROL; EPC; FALSE ALARMS; IMPROPER SIGNAL; MONITORING CAPABILITIES; PROCESS DISTURBANCES; PROCESS SHIFTS; STATISTICAL PROCESS CONTROL CHARTS;

FAULT DETECTION; NEURAL NETWORKS; QUALITY CONTROL;

STATISTICAL PROCESS CONTROL;

EID: 77951461152     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIC.2009.13     Document Type: Conference Paper

References (16)

1. L.C. Alwan, and H.V. Roberts, "Time series modeling for statistical process control", Journal of Business and Economic Statistics, vol. 6, pp. 87-95, 1988.
2. F.W. Faltin, C.M. Mastrangelo, G.C. Runger, and T.P. Ryan "Considerations in the monitoring of autocorrelated and independent data", Journal of Quality Technology, vol. 29, pp. 131-162, 1997.
3. L.C. Alwan, "Effects of autocorrelarion on control chart", Communications in Statistics Theory and Methods, vol. 21, pp. 1025-1049, 1992.
4. S.A. Yourstone and. D.C. Montgomery, "Development of a real-time statistical process control algorithm", Quality and Reliability Engineering International, vol. 5, pp. 309-317, 1989.
5. D.M. Wardrop and C.E. Garcia, "Discussion of 'statistical process monitoring and feedback adjustment-a discussion", Technometrics, vol. 34, pp. 281-282, 1992.
6. G.C. Runger, T.R. Willemain, and S. Prabhu, "Average run lengths for CUSUM control charts applied to residuals", Communications in Statistics - Theory and Methods, vol. 24, pp. 273-282, 1995.
7. D.C. Montgomery and C.M. Mastrangelo, "Some statistical process control for autocorrelation data (with discussion)", Journal of Quality Technology, vol. 23, pp. 179-193, 1991.
8. C.M. Mastrangelo and D.C. Montgomery, "SPC with correlated observations for the chemical and process industries", Quality and Reliability Engineering International, vol. 11, pp.79-89, 1995.
9. J. F. MacGregor, "On-line statistical process control", Chemical Engineering Progress, vol. 84, pp. 21-31, 1988.
10. J.F. MacGtregor, T.J. Harris and J.D. Wright, "Duality between the control of processes subject to randomly occurring deterministic disturbances and ARIMA stochastic disturbances", Technomestrics, vol. 26, pp. 389-397, 1984.
11. C.W. Lu and M.R. Jr. Reynolds, "CUSUM charts for monitoring an autocorrelated process", Journal of Quality Technology, vol. 33, pp. 224-316, 2001.
12. J. Arkat, S.T.A. Niaki, and B. Abbasi, "Artificial neural networks in applying MCUSUM residuals charts for AR(1) processes", Applied Mathematics and Computation, vol. 189, pp. 1889-1901, 2007.
13. T. Tsai, S. Wu, J. Lin, and Y. Chen, "Alternative estimation procedure in SPC when the process data are correlated", Journal of Statistical Computation and Simulation, vol. 77, pp. 575-583, 2007.
14. W.T. Tucker, F.W. Faltin and W.A. Vander "Algorithmic statistical process control: an elaboration", Technometrics, vol. 35, pp. 363-375, 1993.
15. Y.E. Shao, "Integrated application of the cumulative score control chart and engineering process control", Statistica Sinica, vol.8, pp. 239-252, 1998. (Pubitemid 128045974)
16. Y.E. Shao, G.C. Runger, J. Haddock and W.A. Wallace, "Adaptive controllers to integrate SPC and EPC", Communications in Statistics - Simulation and Computation, vol. 28, pp. 13-36, 1999.