Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey

Ali, J.M. and Hussain, M.A. and Tade, M.O. and Zhang, J. (2015) Artificial intelligence techniques applied as estimator in chemical process systems - A literature survey. Expert Systems with Applications, 42 (14). pp. 5915-5931. ISSN 0957-4174

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The versatility of Artificial Intelligence (AI) in process systems is not restricted to modelling and control,only, but also as estimators to estimate the unmeasured parameters as an alternative to the conventional observers and hardware sensors. These estimators, also known as software sensors have been successfully applied in many chemical process systems such as reactors, distillation columns, and heat exchanger due to their robustness, simple formulation, adaptation capabilities and minimum modelling requirements for the design. However, the various types of AI methods available make it difficult to decide on the most suitable algorithm to be applied for any particular system. Hence, in this paper, we provide a broad literature survey of several AI algorithms implemented as estimators in chemical systems together with their advantages, limitations, practical implications and comparisons between one another to guide researchers in selecting and designing the AI-based estimators. Future research suggestions and directions in improvising and extending the usage of these estimators in various chemical operating units are also presented. (C) 2015 Elsevier Ltd. All rights reserved

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Additional Information: ISI Document Delivery No.: CI8NH Times Cited: 0 Cited Reference Count: 142 Cited References: Acuna G, 1998, J FERMENT BIOENG, V85, P615, DOI 10.1016/S0922-338X(98)80015-9 Aguilar-Lopez R, 2003, CHEM ENG J, V93, P113, DOI 10.1016/S1385-8947(02)00221-8 Ahmad AL, 2004, COMPUT CHEM ENG, V28, P2709, DOI 10.1016/j.compchemeng.2004.07.034 Arauzo-Bravo MJ, 2004, CONTROL ENG PRACT, V12, P1073, DOI 10.1016/j.concengprac.2003.11.002 Aziz N, 2000, COMPUT CHEM ENG, V24, P1069, DOI 10.1016/S0098-1354(00)00526-3 Bahar A, 2010, ENG APPL ARTIF INTEL, V23, P262, DOI 10.1016/j.engappai.2009.11.003 Barton RS, 1997, 1997 IEEE INTERNATIONAL CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, P111, DOI 10.1109/ICNN.1997.611647 Beigzadeh R, 2012, INT COMMUN HEAT MASS, V39, P1647, DOI 10.1016/j.icheatmasstransfer.2012.10.011 Brudzewski K, 2006, FUEL, V85, P553, DOI 10.1016/j.fuel.2005.07.019 Buntine W. L., 1991, Complex Systems, V5 Caruana R, 2001, ADV NEUR IN, V13, P402 Chairez I, 2007, IND ENG CHEM RES, V46, P5855, DOI 10.1021/ie0705103 Chen CT, 1996, NEURAL NETWORKS, V9, P627, DOI 10.1016/0893-6080(96)00006-8 Chen CT, 1999, J PROCESS CONTR, V9, P493, DOI 10.1016/S0959-1524(99)00014-1 Chen TC, 2008, INT J HEAT MASS TRAN, V51, P4168, DOI 10.1016/j.ijheatmasstransfer.2008.02.026 Chitanov V., 2004, 2 INT IEEE C INT SYS, V3, P67 Chuk OD, 2005, MINER ENG, V18, P495, DOI 10.1016/j.mineng.2004.08.013 Crucianu M, 2001, NEUROCOMPUTING, V36, P235, DOI 10.1016/S0925-2312(00)00331-3 Dai XZ, 2006, COMPUT CHEM ENG, V30, P1203, DOI 10.1016/j.compchemeng.2006.02.001 Damour C, 2010, J IND ENG CHEM, V16, P708, DOI 10.1016/j.jiec.2010.07.014 de Assis AJ, 2000, COMPUT CHEM ENG, V24, P1099, DOI 10.1016/S0098-1354(00)00489-0 de Canete JF, 2012, COMPUT CHEM ENG, V40, P157, DOI 10.1016/j.compchemeng.2012.01.003 Delrot S, 2012, ENG APPL ARTIF INTEL, V25, P1558, DOI 10.1016/j.engappai.2012.08.004 Devogelaere D, 2002, VII BRAZILIAN SYMPOSIUM ON NEURAL NETWORKS, PROCEEDINGS, P2, DOI 10.1109/SBRN.2002.1181426 Dochain D, 2009, INT J CONTROL, V82, P1389, DOI 10.1080/00207170802236085 Dochain D, 2000, J PROCESS CONTR, V10, P259, DOI 10.1016/S0959-1524(99)00020-7 Du YG, 1997, INT J MINER PROCESS, V52, P121, DOI 10.1016/S0301-7516(97)00063-X Faur-Brasquet C, 2003, CHEM ENG PROCESS, V42, P645, DOI 10.1016/S0255-2701(02)00202-7 Fernandez J., 1996, GENETIC PROGRAMMING Fortuna L, 2005, CONTROL ENG PRACT, V13, P499, DOI 10.1016/j.conengprac.2004.04.013 Frank PM, 1997, ENG APPL ARTIF INTEL, V10, P3, DOI 10.1016/S0952-1976(96)00072-3 Fileti AMF, 2000, CHEM ENG PROCESS, V39, P121 Gadkar KG, 2005, COMPUT CHEM ENG, V29, P1047, DOI 10.1016/j.compchemeng.2004.11.004 Garcia-Ochoa F, 2001, ENZYME MICROB TECH, V28, P560, DOI 10.1016/S0141-0229(01)00297-6 Geng ZQ, 2012, IND ENG CHEM RES, V51, P8526, DOI 10.1021/ie3000166 Genovesi A, 1999, BIOCHEM ENG J, V3, P171, DOI 10.1016/S1369-703X(99)00015-7 Gonzalez J, 1999, ARTIF INTELL ENG, V13, P405, DOI 10.1016/S0954-1810(99)00018-7 Gonzalez J, 2001, CHEM ENG J, V83, P25, DOI 10.1016/S1385-8947(00)00177-7 Guo B, 2001, BIORESOURCE TECHNOL, V76, P77, DOI 10.1016/S0960-8524(00)00106-1 Guyon X, 1999, J MULTIVARIATE ANAL, V70, P221, DOI 10.1006/jmva.1999.1828 Hagiwara K, 2000, IEEE IJCNN, P511 Himmelblau DM, 2008, IND ENG CHEM RES, V47, P5782, DOI 10.1021/ie800076s Hisbullah HMA, 2003, FOOD BIOPROD PROCESS, V81, P138 Horn J, 2001, COMPUT CHEM ENG, V25, P1561, DOI 10.1016/S0098-1354(01)00719-0 Hussain, 1999, ARTIF INTELL, V13, P55 Hussain MA, 2002, J FOOD ENG, V51, P239, DOI 10.1016/S0260-8774(01)00063-2 Islamoglu Y, 2003, APPL THERM ENG, V23, P243, DOI 10.1016/S1359-4311(02)00155-2 Jalali-Heravi M, 2000, J CHROMATOGR A, V897, P227, DOI 10.1016/S0021-9673(00)00793-7 James S, 2002, J PROCESS CONTR, V12, P113, DOI 10.1016/S0959-1524(00)00065-2 Jin S, 1996, J FERMENT BIOENG, V81, P412, DOI 10.1016/0922-338X(96)85142-7 Kadlec P, 2009, COMPUT CHEM ENG, V33, P795, DOI 10.1016/j.compchemeng.2008.12.012 Kadlec P, 2011, COMPUT CHEM ENG, V35, P1, DOI 10.1016/j.compchemeng.2010.07.034 Kalogirou SA, 2003, PROG ENERG COMBUST, V29, P515, DOI 10.1016/S0360-1285(03)00058-3 Kam KM, 1999, IND ENG CHEM RES, V38, P2995, DOI 10.1021/ie980798j Kamimura R, 1996, CURR OPIN BIOTECH, V7, P231, DOI 10.1016/S0958-1669(96)80018-8 Katare S, 2004, COMPUT CHEM ENG, V28, P2569, DOI 10.1016/j.compchemeng.2004.07.002 Khairi Abdul Wahab A., 2007, ASIA-PAC J CHEM ENG, V2, P526 Khazraee SM, 2010, CHINESE J CHEM ENG, V18, P703 Kishan B., 2012, INT J ADV RES COMPUT, V2, P319 Komives C, 2003, CURR OPIN BIOTECH, V14, P468, DOI 10.1016/j.copbio.2003.09.001 Korbicz J, 2007, ENG APPL ARTIF INTEL, V20, P609, DOI 10.1016/j.engappai.2006.11.009 Kordon AK, 1996, COMPUT CHEM ENG, V20, pS1449 Krishnarnoorthy C., 1996, ARTIFICIAL INTELLIGE, V11 Kumar BS, 2012, BIORESOURCE TECHNOL, V103, P300, DOI 10.1016/j.biortech.2011.10.006 Kuroda C, 2002, NEUROCOMPUTING, V43, P77, DOI 10.1016/S0925-2312(01)00621-X Lahiri SK, 2008, CHEM ENG SCI, V63, P1497, DOI 10.1016/j.ces.2007.11.030 Lampinen J, 2001, NEURAL NETWORKS, V14, P257, DOI 10.1016/S0893-6080(00)00098-8 Lashkarbolooki M, 2012, SEP SCI TECHNOL, V47, P2450, DOI 10.1080/01496395.2012.665975 Leondes C. T., 1998, FUZZY LOGIC EXPERT S, V6 Li EG, 2002, COMPUT CHEM ENG, V26, P1253, DOI 10.1016/S0098-1354(02)00092-3 Linko S, 1999, TRENDS BIOTECHNOL, V17, P155, DOI 10.1016/S0167-7799(98)01299-2 Liu JL, 2007, CONTROL ENG PRACT, V15, P769, DOI 10.1016/j.conengprac.2005.12.005 Liu XG, 2012, AICHE J, V58, P1194, DOI 10.1002/aic.12660 MACKAY DJC, 1992, NEURAL COMPUT, V4, P448, DOI 10.1162/neco.1992.4.3.448 Maltarollo V. G., 2013, APPL ARTIFICIAL NEUR Mc Loone S, 2001, NEUROCOMPUTING, V37, P71, DOI 10.1016/S0925-2312(00)00314-3 Meert K, 1998, COMPUT CHEM ENG, V22, pS587, DOI 10.1016/S0098-1354(98)00104-5 Mehlman SA, 1998, ANAL CHIM ACTA, V371, P117, DOI 10.1016/S0003-2670(98)00359-6 Mesbah A, 2011, J PROCESS CONTR, V21, P652, DOI 10.1016/j.jprocont.2010.11.013 Ali JM, 2015, COMPUT CHEM ENG, V76, P27, DOI 10.1016/j.compchemeng.2015.01.019 Mohebbi M, 2011, FOOD BIOPROD PROCESS, V89, P362, DOI 10.1016/j.fbp.2010.08.001 Molga E, 2003, CATAL TODAY, V79, P241, DOI 10.1016/S0920-5861(03)00011-7 Morgan N., 1989, NIPS, P630 Motlaghi S, 2008, EXPERT SYST APPL, V35, P1540, DOI 10.1016/j.eswa.2007.08.105 Neal R. M., 1995, BAYESIAN LEARNING NE Negnevitsky M., 2005, ARTIFICIAL INTELLIGE Ng CW, 2004, CHEM ENG PROCESS, V43, P559, DOI 10.1016/S0255-2701(03)00109-0 Paraskevas PA, 1999, KNOWL-BASED SYST, V12, P355, DOI 10.1016/S0950-7051(99)00040-4 Patnaik PR, 1997, FOOD BIOPROD PROCESS, V75, P239, DOI 10.1205/096030897531649 Petley G. J., 1995, COMPUTERS CHEM EN S1, V19, P675, DOI 10.1016/0098-1354(95)87113-6 Porru G, 2000, CHEM ENG SCI, V55, P331, DOI 10.1016/S0009-2509(99)00328-0 Porter Ii L. M. L., 1995, ENG APPL ARTIF INTEL, V8, P261 Prakash J, 2008, J PROCESS CONTR, V18, P504, DOI 10.1016/j.jprocont.2007.08.001 Priddy K. L., 2005, ARTIFICIAL NEURAL NE, V68 Radhakrishnan VR, 2000, J PROCESS CONTR, V10, P509, DOI 10.1016/S0959-1524(99)00052-9 Rezende MCAF, 2008, CHEM ENG SCI, V63, P330, DOI 10.1016/j.ces.2007.09.001 Rich E., 1991, ARTIFICIAL INTELLIGE Rivera EC, 2010, CHEM ENG PROCESS, V49, P402, DOI 10.1016/j.cep.2010.02.012 Sablani SS, 2001, CHEM ENG PROCESS, V40, P363, DOI 10.1016/S0255-2701(01)00111-8 Senthil R, 2006, IND ENG CHEM RES, V45, P8678, DOI 10.1021/ie0601753 Sharma R, 2004, CHEM ENG PROCESS, V43, P841, DOI 10.1016/S0255-2701(03)00103-X Shen Q, 2001, ARTIF INTELL ENG, V15, P13, DOI 10.1016/S0954-1810(00)00022-4 Shioya S, 1999, J BIOSCI BIOENG, V87, P261, DOI 10.1016/S1389-1723(99)80029-2 Silva RG, 2008, J CHEM TECHNOL BIOT, V83, P739, DOI 10.1002/jctb.1864 Singh V, 2007, ENG APPL ARTIF INTEL, V20, P249, DOI 10.1016/j.engappai.2006.06.017 Singh V, 2005, CHEM ENG PROCESS, V44, P785, DOI 10.1016/j.cep.2004.08.010 Sivan S, 2007, BIOMOL ENG, V24, P237, DOI 10.1016/j.bioeng.2006.12.001 Stephanopoulos G, 1996, COMPUT CHEM ENG, V20, P743, DOI 10.1016/0098-1354(95)00194-8 Su GH, 2002, J NUCL SCI TECHNOL, V39, P1190, DOI 10.3327/jnst.39.1190 Touretzlcy D. S., 1990, ADV NEURAL INFORM PR, V2 Tronci S, 2005, IND ENG CHEM RES, V44, P9884, DOI 10.1021/ie048751n Turkdogan-Aydinol FI, 2010, J HAZARD MATER, V182, P460, DOI 10.1016/j.jhazmat.2010.06.054 Valdez-Castro L, 2003, BIOPROC BIOSYST ENG, V25, P229, DOI 10.1007/s00449-002-0296-7 Velardi SA, 2009, CHEM ENG RES DES, V87, P1409, DOI 10.1016/j.cherd.2009.03.011 Wang GB, 1997, CHEM ENG SCI, V52, P787, DOI 10.1016/S0009-2509(96)00449-6 Wang J, 2011, IND ENG CHEM RES, V50, P6174, DOI 10.1021/ie1015377 Wang L., 2006, J NAT GAS CHEM, V15, P230, DOI 10.1016/S1003-9953(06)60031-5 Wang R.-L, 2007, IJCSNS, V7, P86 Wei HW, 2010, INT J THERM SCI, V49, P143, DOI 10.1016/j.ijthermalsci.2009.06.007 Wei NC, 2007, CAN J CHEM ENG, V85, P936 Wilson JA, 1997, COMPUT CHEM ENG, V21, P951, DOI 10.1016/S0098-1354(96)00336-5 Wiltowski T, 2005, CHEM ENG PROCESS, V44, P775, DOI 10.1016/j.cep.2004.08.007 Yang CX, 2011, CHINESE J CHEM ENG, V19, P299 Yang SH, 1999, COMPUT CHEM ENG, V23, pS443 Yao HM, 2005, FUEL, V84, P1535, DOI 10.1016/j.fuel.2005.02.019 Yarlagadda P. K. D. V., 2001, J MATER PROCESS TECH, V118, P109, DOI 10.1016/S0924-0136(01)00901-3 Yeh TM, 2003, COMPUT CHEM ENG, V27, P55, DOI 10.1016/S0098-1354(02)00152-7 Yetilmezsoy K, 2011, COLLOID SURFACE A, V389, P50, DOI 10.1016/j.colsurfa.2011.08.051 Yet-Pole I, 1996, Chemical Engineering Journal, V61, P35, DOI 10.1016/0923-0467(96)03015-1 Yticetiirk A. C., 1999, SOLUTION PROBLEM LOC, P1081 Zamprogna E, 2001, CHEM ENG RES DES, V79, P689, DOI 10.1205/026387601316971361 Zarei J, 2010, IND ENG CHEM RES, V49, P11443, DOI 10.1021/ie100477m Zhang J, 1998, NEURAL NETWORKS, V11, P65, DOI 10.1016/S0893-6080(97)00111-1 Zhang J, 1999, NEUROCOMPUTING, V25, P93 Zhang J, 1998, CHEM ENG J, V69, P135, DOI 10.1016/S1385-8947(98)00069-2 Zhang J, 1997, COMPUT CHEM ENG, V21, pS1025 Zhang J, 1999, COMPUT CHEM ENG, V23, P301, DOI 10.1016/S0098-1354(98)00275-0 Zhang J, 2001, IND ENG CHEM RES, V40, P234, DOI 10.1021/ie000286g Zhang J, 2002, P AMER CONTR CONF, P531 Zhang J, 1999, NEURAL NETWORKS, V12, P927, DOI 10.1016/S0893-6080(99)00037-4 Zhang Z, 2003, COMPOS SCI TECHNOL, V63, P2029, DOI 10.1016/S0266-3538(03)00106-4 Zhu Q, 1999, FUEL, V78, P1755, DOI 10.1016/S0016-2361(99)00124-6 Ali, Jarinah Mohd Hussain, M. A. Tade, Moses O. Zhang, Jie Engineering, Faculty /I-7935-2015 Engineering, Faculty /0000-0002-4848-7052 University of Malaya UM.C/HIR/MOHE/ENG/25; Ministry of Higher Education in Malaysia UM.C/HIR/MOHE/ENG/25 The authors are grateful to the University of Malaya and the Ministry of Higher Education in Malaysia for supporting this collaborative work under the high impact research grant UM.C/HIR/MOHE/ENG/25. 0 PERGAMON-ELSEVIER SCIENCE LTD OXFORD EXPERT SYST APPL
Uncontrolled Keywords: Artificial intelligence, estimator, soft-sensor, chemical process systems, hybrid neural-network, batch distillation column, bioreactor state estimation, ann-based estimator, genetic algorithm, soft sensors, polymer quality, expert-system, fuzzy-logic, inferential estimation,
Subjects: T Technology > T Technology (General)
T Technology > TP Chemical technology
Divisions: Faculty of Engineering
Depositing User: Mr Jenal S
Date Deposited: 04 Apr 2016 01:02
Last Modified: 04 Apr 2016 01:02

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