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Volumn 17, Issue 3, 2003, Pages 319-324

On-line data rectification for chemical process measurements based on artificial neural networks

Author keywords

Artificial neural networks; Data reconciliation; Gross error detection; Integrated operation

Indexed keywords

BACKPROPAGATION; ERROR DETECTION; MEASUREMENTS; NEURAL NETWORKS; SEPARATION;

EID: 0042317297     PISSN: 10039015     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (10)
  • 2
    • 0027850563 scopus 로고
    • Data rectification and gross error detection in a steady-state process via artificial neural networks
    • Patricia A, David M. Data rectification and gross error detection in a steady-state process via artificial neural networks[J]. Ind Eng Chem Res, 1993, 32(12): 3020-3028.
    • (1993) Ind. Eng. Chem. Res. , vol.32 , Issue.12 , pp. 3020-3028
    • Patricia, A.1    David, M.2
  • 3
    • 0031185573 scopus 로고    scopus 로고
    • Use of novel autoassociative neural network for nonlinear steady-state data reconciliation
    • DU Yang-guang. Use of novel autoassociative neural network for nonlinear steady-state data reconciliation[J]. AIChE J, 1997, 43(7): 1785-1796.
    • (1997) AIChE J. , vol.43 , Issue.7 , pp. 1785-1796
    • Du, Y.-G.1
  • 5
    • 0027643091 scopus 로고
    • Application of neural networks for gross error detection
    • Gupta G, Narasimhan S. Application of neural networks for gross error detection[J]. Ind Eng Chem Res, 1993, 32(8): 1651-1657.
    • (1993) Ind. Eng. Chem. Res. , vol.32 , Issue.8 , pp. 1651-1657
    • Gupta, G.1    Narasimhan, S.2
  • 6
    • 0028438609 scopus 로고
    • Identification of gross errors in material balance measurements by means of neural nets
    • Aldrich C, Deventer V. Identification of gross errors in material balance measurements by means of neural nets[J]. Chem Eng Sci, 1994, 49(9): 1357-1368.
    • (1994) Chem. Eng. Sci. , vol.49 , Issue.9 , pp. 1357-1368
    • Aldrich, C.1    Deventer, V.2
  • 7
    • 0029210177 scopus 로고
    • Comparison of different artificial neural nets for the detection and location of gross errors in process systems
    • Aldrich C Devebter V, Comparison of different artificial neural nets for the detection and location of gross errors in process systems[J]. Ind Eng Chem Res, 1995, 34(1): 216-224.
    • (1995) Ind. Eng. Chem. Res. , vol.34 , Issue.1 , pp. 216-224
    • Aldrich, C.1    Devebter, V.2
  • 8
    • 0042894493 scopus 로고    scopus 로고
    • Period extending method for the detection of changes of steady states for chemical process
    • JIN Si-yi, ZHOU Chuan-guang. Period extending method for the detection of changes of steady states for chemical process[J]. J Chem Eng of Chinese Univ, 2000, 14(1): 71-76.
    • (2000) J. Chem. Eng. of Chinese Univ. , vol.14 , Issue.1 , pp. 71-76
    • Jin, S.-Y.1    Zhou, C.-G.2
  • 9
    • 0042393589 scopus 로고    scopus 로고
    • Study on on-line process data reconciliation integrated technology based on simulation and artificial neural networks
    • Guangzhou: South China University of Technology, Dissertation
    • ZHOU Chuan-guang. Study on On-line Process Data Reconciliation Integrated Technology Based on Simulation and Artificial Neural Networks[D]. Guangzhou: South China University of Technology, 1999.
    • (1999)
    • Zhou, C.-G.1
  • 10
    • 23544437685 scopus 로고    scopus 로고
    • Development of general chemical engineering process data reconciliation system
    • Qingdao: Qingdao Institute of Chemical Technology, Dissertation
    • KONG Ling. Development of General Chemical Engineering Process Data Reconciliation System[D]. Qingdao: Qingdao Institute of Chemical Technology, 2000.
    • (2000)
    • Kong, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.