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Volumn 25, Issue 5, 2009, Pages 631-643

Process monitoring with ICA-based signal extraction technique and CART approach

Author keywords

Classification and regression tree; Engineering process control; Independent component analysis; Statistical process control

Indexed keywords

ASSIGNABLE CAUSE; CLASSIFICATION AND REGRESSION TREE; CONTROLLED PROCESS; CUMULATIVE SUM CHARTS; CUSUM CONTROL CHART; DISTURBANCE LEVEL; ENGINEERING PROCESS CONTROL; FALSE ALARMS; INDEPENDENT COMPONENTS; MANUFACTURING PROCESS; PROCESS PARAMETERS; PROCESS VARIATION; SIGNAL EXTRACTION; TIME POINTS;

EID: 67749095833     PISSN: 07488017     EISSN: 10991638     Source Type: Journal    
DOI: 10.1002/qre.997     Document Type: Article
Times cited : (12)

References (43)
  • 2
    • 0030126021 scopus 로고    scopus 로고
    • The effects of SPC on the target of process quality improvement
    • Chen WH. The effects of SPC on the target of process quality improvement. Journal of Quality Technology 1996; 28(2) :224-232.
    • (1996) Journal of Quality Technology , vol.28 , Issue.2 , pp. 224-232
    • Chen, W.H.1
  • 3
    • 0026909187 scopus 로고
    • Algorithmic statistical process control: Concepts and an application
    • Wiel SAV, Tucker WT, Faltin FW, Doganaksoy N. Algorithmic statistical process control: Concepts and an application. Technometrics 1992; 34(3) :286-297.
    • (1992) Technometrics , vol.34 , Issue.3 , pp. 286-297
    • Wiel, S.A.V.1    Tucker, W.T.2    Faltin, F.W.3    Doganaksoy, N.4
  • 8
    • 0035452595 scopus 로고    scopus 로고
    • The case for modeling correlation in manufacturing systems
    • Altiok T, Melamed B. The case for modeling correlation in manufacturing systems. IIE Transactions 2001; 33: 779-791.
    • (2001) IIE Transactions , vol.33 , pp. 779-791
    • Altiok, T.1    Melamed, B.2
  • 11
    • 67749100173 scopus 로고
    • Working Paper 143, College Station, Department of Statistics, Texas A&M University
    • Longnecker MT, Ryan TP. Correlated process data. Working Paper 143, College Station, Department of Statistics, Texas A&M University, 1993.
    • (1993) Correlated process data
    • Longnecker, M.T.1    Ryan, T.P.2
  • 12
    • 0028516950 scopus 로고
    • Run length distributions of residual control charts for autocorrelated processes
    • Wardell DG, Moskowitz H, Plante RD. Run length distributions of residual control charts for autocorrelated processes. Journal of Quality Technology 1994;26:308-317.
    • (1994) Journal of Quality Technology , vol.26 , pp. 308-317
    • Wardell, D.G.1    Moskowitz, H.2    Plante, R.D.3
  • 13
    • 84893529721 scopus 로고
    • Statistical process monitoring and feedback adjustment-A discussion
    • Box GEP, Kramer T. Statistical process monitoring and feedback adjustment-A discussion. Technometrics 1992;34:251-285.
    • (1992) Technometrics , vol.34 , pp. 251-285
    • Box, G.E.P.1    Kramer, T.2
  • 15
    • 0029288953 scopus 로고
    • Choosing the EWMA parameter in engineering process control
    • Luceño A. Choosing the EWMA parameter in engineering process control. Journal of Quality Technology 1995;27:162-168.
    • (1995) Journal of Quality Technology , vol.27 , pp. 162-168
    • Luceño, A.1
  • 17
    • 0032365009 scopus 로고    scopus 로고
    • Integrated application of the cumulative score control chart and engineering process control
    • Shao YE. Integrated application of the cumulative score control chart and engineering process control. Statistica Sinica 1998;8:239-252.
    • (1998) Statistica Sinica , vol.8 , pp. 239-252
    • Shao, Y.E.1
  • 18
    • 0032649127 scopus 로고    scopus 로고
    • Developing identification techniques with the integrated use of SPC/EPC and neural networks
    • Shao YE, Chiu CC. Developing identification techniques with the integrated use of SPC/EPC and neural networks. Quality and Reliability Engineering International 1999;15:287-294.
    • (1999) Quality and Reliability Engineering International , vol.15 , pp. 287-294
    • Shao, Y.E.1    Chiu, C.C.2
  • 21
    • 0344667562 scopus 로고    scopus 로고
    • CSPC: A monitoring procedure for state dependent processes
    • Ben-Gal I, Morag G, Shmilovici A. CSPC: A monitoring procedure for state dependent processes. Technometrics 2003;45:293-311.
    • (2003) Technometrics , vol.45 , pp. 293-311
    • Ben-Gal, I.1    Morag, G.2    Shmilovici, A.3
  • 23
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • Hyvärinen A, Oja E. Independent component analysis: Algorithms and applications. Neural Networks 2000; 13: 411-430.
    • (2000) Neural Networks , vol.13 , pp. 411-430
    • Hyvärinen, A.1    Oja, E.2
  • 30
    • 14944354016 scopus 로고    scopus 로고
    • Isolating multiple sources of plant-wide oscillations via independent component analysis
    • Xia C, Howell J. Isolating multiple sources of plant-wide oscillations via independent component analysis. Control Engineering Practice 2003; 13(8) :1027-1035.
    • (2003) Control Engineering Practice , vol.13 , Issue.8 , pp. 1027-1035
    • Xia, C.1    Howell, J.2
  • 32
    • 1042266980 scopus 로고    scopus 로고
    • On-line batch process monitoring using different unfolding method and independent component analysis
    • Lee JM, Yoo CK, Lee IB. On-line batch process monitoring using different unfolding method and independent component analysis. Journal of Chemical Engineering of Japan 2003;36:1384-1396.
    • (2003) Journal of Chemical Engineering of Japan , vol.36 , pp. 1384-1396
    • Lee, J.M.1    Yoo, C.K.2    Lee, I.B.3
  • 33
    • 0042123781 scopus 로고    scopus 로고
    • New monitoring technique with an ICA algorithm in the wastewater treatment process
    • Lee JM, Yoo CK, Lee IB. New monitoring technique with an ICA algorithm in the wastewater treatment process. Water Science and Technology 2003; 47(12) :49-56.
    • (2003) Water Science and Technology , vol.47 , Issue.12 , pp. 49-56
    • Lee, J.M.1    Yoo, C.K.2    Lee, I.B.3
  • 35
    • 0028416938 scopus 로고
    • Independent component analysis: A new concept
    • Comon P. Independent component analysis: A new concept. Signal Processing 1994;36:287-314.
    • (1994) Signal Processing , vol.36 , pp. 287-314
    • Comon, P.1
  • 36
    • 0029411030 scopus 로고
    • An information-maximization approach to blind separation and blind deconvolution
    • Bell AJ, Sejnowski TJ. An information-maximization approach to blind separation and blind deconvolution. Neural Computation 1995;7:1129-1159.
    • (1995) Neural Computation , vol.7 , pp. 1129-1159
    • Bell, A.J.1    Sejnowski, T.J.2
  • 37
    • 0346307721 scopus 로고    scopus 로고
    • A fast fixed-point algorithm for independent component analysis
    • Hyvärinen A, Oja E. A fast fixed-point algorithm for independent component analysis. Neural Computation 1997;9:1483-1492.
    • (1997) Neural Computation , vol.9 , pp. 1483-1492
    • Hyvärinen, A.1    Oja, E.2
  • 38
    • 0141978306 scopus 로고    scopus 로고
    • The fixed-point algorithm and maximum likelihood estimation for independent component analysis
    • Hyvärinen A. The fixed-point algorithm and maximum likelihood estimation for independent component analysis. Neural Processing Letters 1999;10:1-5.
    • (1999) Neural Processing Letters , vol.10 , pp. 1-5
    • Hyvärinen, A.1
  • 39
    • 0036956134 scopus 로고    scopus 로고
    • Frontiers of research in BSS/ICA
    • David V, Sanchez A. Frontiers of research in BSS/ICA. Neruocomputing 2002;49:7-23.
    • (2002) Neruocomputing , vol.49 , pp. 7-23
    • David, V.1    Sanchez, A.2
  • 40
    • 0021522874 scopus 로고
    • Duality between the control of processes subject to randomly occurring deterministic disturbances and ARIMA stochastic disturbances
    • MacGregor JF, Harris TJ, Wright JD. Duality between the control of processes subject to randomly occurring deterministic disturbances and ARIMA stochastic disturbances. Technometrics 1984;26:389-397.
    • (1984) Technometrics , vol.26 , pp. 389-397
    • MacGregor, J.F.1    Harris, T.J.2    Wright, J.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.