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Özyurt, Derya B., Pike, Ralph W. (2004) Theory and practice of simultaneous data reconciliation and gross error detection for chemical processes. Computers & Chemical Engineering, 28. 381-402 doi:10.1016/j.compchemeng.2003.07.001

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Reference TypeJournal (article/letter/editorial)
TitleTheory and practice of simultaneous data reconciliation and gross error detection for chemical processes
JournalComputers & Chemical Engineering
AuthorsÖzyurt, Derya B.Author
Pike, Ralph W.Author
Year2004 (March)Volume28
PublisherElsevier BV
DOIdoi:10.1016/j.compchemeng.2003.07.001Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID6607284Long-form Identifiermindat:1:5:6607284:9
GUID0
Full ReferenceÖzyurt, Derya B., Pike, Ralph W. (2004) Theory and practice of simultaneous data reconciliation and gross error detection for chemical processes. Computers & Chemical Engineering, 28. 381-402 doi:10.1016/j.compchemeng.2003.07.001
Plain TextÖzyurt, Derya B., Pike, Ralph W. (2004) Theory and practice of simultaneous data reconciliation and gross error detection for chemical processes. Computers & Chemical Engineering, 28. 381-402 doi:10.1016/j.compchemeng.2003.07.001
In(n.d.) Computers & Chemical Engineering Vol. 28. Elsevier BV

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Zhang, Zhengjiang, Chen, Junghui (2015) Correntropy based data reconciliation and gross error detection and identification for nonlinear dynamic processes. Computers & Chemical Engineering, 75. 120-134 doi:10.1016/j.compchemeng.2015.01.005
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Wang, Fang, Jia, Xiao-ping, Zheng, Shi-qing, Yue, Jin-cai (2004) An improved MT–NT method for gross error detection and data reconciliation. Computers & Chemical Engineering, 28. 2189-2192 doi:10.1016/j.compchemeng.2004.04.003
Peng, Zhentao; Yuan, Yuan; Chen, Zhisheng; Xu, Xiaodong; Dubljevic, Stevan (2025) An EM/ECME-based algorithm for simultaneous data reconciliation and gross error detection using t-distribution noise model in chemical industry. Computers & Chemical Engineering, 202. doi:10.1016/j.compchemeng.2025.109301
Tjoa, I.B., Biegler, L.T. (1991) Simultaneous strategies for data reconciliation and gross error detection of nonlinear systems. Computers & Chemical Engineering, 15. 679-690 doi:10.1016/0098-1354(91)85014-l
Maronna, Ricardo, Arcas, Jorge (2009) Data reconciliation and gross error diagnosis based on regression. Computers & Chemical Engineering, 33. 65-71 doi:10.1016/j.compchemeng.2008.07.003
Valle, Edson Cordeiro do, Kalid, Ricardo de Araújo, Secchi, Argimiro Resende, Kiperstok, Asher (2018) Collection of benchmark test problems for data reconciliation and gross error detection and identification. Computers & Chemical Engineering, 111. 134-148 doi:10.1016/j.compchemeng.2018.01.002
Harikumar, P., Narasimhan, S. (1993) A method to incorporate bounds in data reconciliation and gross error detection—II. Gross error detection strategies. Computers & Chemical Engineering, 17. 1121-1128 doi:10.1016/0098-1354(93)80093-3
Kelly, Jeffrey Dean (2004) Techniques for solving industrial nonlinear data reconciliation problems. Computers & Chemical Engineering, 28. 2837-2843 doi:10.1016/j.compchemeng.2004.06.009
Youqi, Y (1995) A study of gross error detection and data reconciliation in process industries. Computers & Chemical Engineering, 19. doi:10.1016/0098-1354(95)00075-d
Narasimhan, S., Harikumar, P. (1993) A method to incorporate bounds in data reconciliation and gross error detection—I. The bounded data reconciliation problem. Computers & Chemical Engineering, 17. 1115-1120 doi:10.1016/0098-1354(93)80092-2
 
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