메뉴 건너뛰기




Volumn 22, Issue 1, 2012, Pages 43-67

An adaptive fault-tolerant control framework with agent-based systems

Author keywords

adaptive diagnosis; agent based systems; fault tolerant control

Indexed keywords

ADAPTIVE DIAGNOSIS; ADAPTIVE FAULT-TOLERANT CONTROL; AGENT ADAPTATION; AGENT MANAGEMENTS; AGENT-BASED FRAMEWORK; AGENT-BASED SYSTEMS; CLASSIFICATION TECHNIQUE; CONTINUOUS PROCESS; CONTINUOUS STIRRED TANK REACTOR; CONTROL AGENT; CONTROL MODULE; DISTRIBUTED CONTROL; DISTRIBUTED MODEL PREDICTIVE CONTROL; FAULT DETECTION AND DIAGNOSIS; FAULT TOLERANT CONTROL; HIERARCHICAL STRUCTURES; MULTIPLE AGENTS; PROCESS CONDITION; PROCESS SUPERVISION; SUPERVISION SYSTEMS;

EID: 83555172323     PISSN: 10498923     EISSN: 10991239     Source Type: Journal    
DOI: 10.1002/rnc.1812     Document Type: Article
Times cited : (16)

References (67)
  • 1
    • 0031162425 scopus 로고    scopus 로고
    • Controller performance assessment by frequency domain techniques
    • Kendra SJ, Cinar A,. Controller performance assessment by frequency domain techniques. Journal of Process Control; 1997 7 (3): 181-194.
    • (1997) Journal of Process Control , vol.7 , Issue.3 , pp. 181-194
    • Kendra, S.J.1    Cinar, A.2
  • 3
    • 0001233894 scopus 로고    scopus 로고
    • Control of nonlinear distributed process systems: Recent developments and challenges
    • Christofides PD,. Control of nonlinear distributed process systems: recent developments and challenges. AIChE Journal 2001; 47 (3): 514-518.
    • (2001) AIChE Journal , vol.47 , Issue.3 , pp. 514-518
    • Christofides, P.D.1
  • 4
    • 38149028417 scopus 로고    scopus 로고
    • Active fault tolerant control of nonlinear batch processes with sensor faults
    • Wang Y, Yang Y, Zhou D, Gao F,. Active fault tolerant control of nonlinear batch processes with sensor faults. Industrial & Engineering Chemistry Research 2007; 46: 9158-9169.
    • (2007) Industrial & Engineering Chemistry Research , vol.46 , pp. 9158-9169
    • Wang, Y.1    Yang, Y.2    Zhou, D.3    Gao, F.4
  • 5
    • 0025085035 scopus 로고
    • A model-object based supervisory expert system for fault tolerant chemical reactor control
    • Basila MR, Stefanek G, Cinar A,. A model-object based supervisory expert system for fault tolerant chemical reactor control. Computers & Chemical Engineering 1990; 14 (4-5): 551-560.
    • (1990) Computers & Chemical Engineering , vol.14 , Issue.45 , pp. 551-560
    • Basila, M.R.1    Stefanek, G.2    Cinar, A.3
  • 6
    • 83555167718 scopus 로고    scopus 로고
    • Intelligent process control with supervisory knowledge-based systems
    • Kluwer Academic Publishers: The Netherlands
    • Kendra SJ, Basila MR, Cinar A,. Intelligent process control with supervisory knowledge-based systems. In Methods and Applications of Intelligent Control. Kluwer Academic Publishers: The Netherlands, 1997.
    • (1997) Methods and Applications of Intelligent Control
    • Kendra, S.J.1    Basila, M.R.2    Cinar, A.3
  • 7
    • 40449094552 scopus 로고    scopus 로고
    • From large chemical plant data to fault diagnosis integrated to decentralized fault tolerant control: Pulp mill process application
    • Zumoffen D, Basualdo M,. From large chemical plant data to fault diagnosis integrated to decentralized fault tolerant control: pulp mill process application. Industrial & Engineering Chemistry Research 2008; 47: 1201-1220.
    • (2008) Industrial & Engineering Chemistry Research , vol.47 , pp. 1201-1220
    • Zumoffen, D.1    Basualdo, M.2
  • 9
    • 33947495411 scopus 로고    scopus 로고
    • Fault-tolerant control of nonlinear process systems subject to sensor faults
    • Mhaskar P, Gani A, McFall C, Christofides PD, Davis JF,. fault-tolerant control of nonlinear process systems subject to sensor faults. AIChE Journal 2007; 53 (3): 654-668.
    • (2007) AIChE Journal , vol.53 , Issue.3 , pp. 654-668
    • Mhaskar, P.1    Gani, A.2    McFall, C.3    Christofides, P.D.4    Davis, J.F.5
  • 10
    • 21144455983 scopus 로고    scopus 로고
    • Fault-tolerant control of process systems using communication networks
    • El-Farra NH, Gani A, Christofides PD,. fault-tolerant control of process systems using communication networks. AIChE Journal 2005; 51 (6): 1665-1682.
    • (2005) AIChE Journal , vol.51 , Issue.6 , pp. 1665-1682
    • El-Farra, N.H.1    Gani, A.2    Christofides, P.D.3
  • 11
    • 0032669513 scopus 로고    scopus 로고
    • Modelling and predictive control: Enabling technologies for reconfiguration
    • Maciejowski JM,. Modelling and predictive control: enabling technologies for reconfiguration. Annual Reviews in Control 1999; 23: 13-23.
    • (1999) Annual Reviews in Control , vol.23 , pp. 13-23
    • MacIejowski, J.M.1
  • 12
    • 0242558080 scopus 로고    scopus 로고
    • Towards agents-based process systems engineering: Proposed agent framework
    • Siirola JD, Hauan S, Westerberg AW,. Towards agents-based process systems engineering: proposed agent framework. Computers & Chemical Engineering 2003; 27 (12): 1801-1811.
    • (2003) Computers & Chemical Engineering , vol.27 , Issue.12 , pp. 1801-1811
    • Siirola, J.D.1    Hauan, S.2    Westerberg, A.W.3
  • 15
    • 77952896060 scopus 로고    scopus 로고
    • Statistical monitoring of complex chemical processes with agent-based systems
    • DOI: 10.1021/ie901368j
    • Perk S, Teymour F, Cinar A,. Statistical monitoring of complex chemical processes with agent-based systems. Industrial & Engineering Chemistry Research 2010; 49: 5080-5093, DOI: 10.1021/ie901368j.
    • (2010) Industrial & Engineering Chemistry Research , vol.49 , pp. 5080-5093
    • Perk, S.1    Teymour, F.2    Cinar, A.3
  • 16
    • 77952922509 scopus 로고    scopus 로고
    • Agent-based monitoring, fault detection, diagnosis and control of spatially distributed processes
    • Cancun, Mexico
    • Perk S, Cinar A,. agent-based monitoring, fault detection, diagnosis and control of spatially distributed processes. Proceedings of Dynamics and Control of Process Systems, Cancun, Mexico, 2007.
    • (2007) Proceedings of Dynamics and Control of Process Systems
    • Perk, S.1    Cinar, A.2
  • 18
    • 0000002118 scopus 로고
    • Some statistical process control methods for autocorrelated data
    • Montgomery DC, Mastrangelo MC,. Some statistical process control methods for autocorrelated data. Journal of Quality Technology 1991; 23 (3): 179-204.
    • (1991) Journal of Quality Technology , vol.23 , Issue.3 , pp. 179-204
    • Montgomery, D.C.1    Mastrangelo, M.C.2
  • 19
  • 20
    • 0029267381 scopus 로고
    • Statistical process control of multivariable processes
    • MacGregor JF, Kourti T,. Statistical process control of multivariable processes. Control Engineering Practice 1995; 3: 403-414.
    • (1995) Control Engineering Practice , vol.3 , pp. 403-414
    • MacGregor, J.F.1    Kourti, T.2
  • 22
    • 0028424619 scopus 로고
    • Process monitoring and diagnosis by multi-block PLS methods
    • MacGregor JF, Jaeckle C, Kiparissides C,. Process monitoring and diagnosis by multi-block PLS methods. AIChe Journal 1994; 40: 826-838.
    • (1994) AIChe Journal , vol.40 , pp. 826-838
    • MacGregor, J.F.1    Jaeckle, C.2    Kiparissides, C.3
  • 23
    • 0001212550 scopus 로고    scopus 로고
    • Detection and identification of faulty sensors in dynamic processes
    • Qin SJ, Li W,. Detection and identification of faulty sensors in dynamic processes. AIChE Journal 2001; 47 (7): 1581-1593.
    • (2001) AIChE Journal , vol.47 , Issue.7 , pp. 1581-1593
    • Qin, S.J.1    Li, W.2
  • 24
    • 0035427852 scopus 로고    scopus 로고
    • Classification of abnormal plant operation using multiple process variable trends
    • Wong J, McDonald K, Palazoglu A,. Classification of abnormal plant operation using multiple process variable trends. Journal of Process Control 2001; 11 (4): 409-418.
    • (2001) Journal of Process Control , vol.11 , Issue.4 , pp. 409-418
    • Wong, J.1    McDonald, K.2    Palazoglu, A.3
  • 25
    • 0024905756 scopus 로고
    • A neural network methodology for process fault diagnosis
    • Venkatasubramanian V, Chan K,. A neural network methodology for process fault diagnosis. AIChE Journal 1989; 35 (12): 1993-2002.
    • (1989) AIChE Journal , vol.35 , Issue.12 , pp. 1993-2002
    • Venkatasubramanian, V.1    Chan, K.2
  • 26
    • 0041355444 scopus 로고    scopus 로고
    • Combination method of principal component and wavelet analysis for multivariate process monitoring and fault diagnosis
    • Lu N, Wang F, Gao F,. Combination method of principal component and wavelet analysis for multivariate process monitoring and fault diagnosis. Industrial & Engineering Chemistry Research 2003; 42 (18): 4198-4207.
    • (2003) Industrial & Engineering Chemistry Research , vol.42 , Issue.18 , pp. 4198-4207
    • Lu, N.1    Wang, F.2    Gao, F.3
  • 28
    • 0036131953 scopus 로고    scopus 로고
    • An integration mechanism for multivariate knowledge-based fault diagnosis
    • Leung D, Romagnoli J,. An integration mechanism for multivariate knowledge-based fault diagnosis. Journal of Process Control 2002; 12: 15-26.
    • (2002) Journal of Process Control , vol.12 , pp. 15-26
    • Leung, D.1    Romagnoli, J.2
  • 29
    • 0034333295 scopus 로고    scopus 로고
    • Dynamic probabilistic model-based expert system for fault diagnosis
    • Leung D, Romagnoli J,. Dynamic probabilistic model-based expert system for fault diagnosis. Computers & Chemical Engineering 2000; 24: 2473-2492.
    • (2000) Computers & Chemical Engineering , vol.24 , pp. 2473-2492
    • Leung, D.1    Romagnoli, J.2
  • 30
    • 0034661302 scopus 로고    scopus 로고
    • Challenges in the industrial applications of fault diagnostic systems
    • Dash S, Venkatasubramanian V,. Challenges in the industrial applications of fault diagnostic systems. Computers and Chemical Engineering 2000; 24 (2-7): 785-791.
    • (2000) Computers and Chemical Engineering , vol.24 , Issue.27 , pp. 785-791
    • Dash, S.1    Venkatasubramanian, V.2
  • 31
    • 0030127409 scopus 로고    scopus 로고
    • Statistical process monitoring and disturbance diagnosis in multivariable continuous processes
    • Raich A, Cinar A,. Statistical process monitoring and disturbance diagnosis in multivariable continuous processes. AIChE Journal 1996; 42 (4): 995-1009.
    • (1996) AIChE Journal , vol.42 , Issue.4 , pp. 995-1009
    • Raich, A.1    Cinar, A.2
  • 32
    • 0031062026 scopus 로고    scopus 로고
    • Diagnosis of process disturbances by statistical distance and angle measures
    • Raich A, Cinar A,. Diagnosis of process disturbances by statistical distance and angle measures. Computers & Chemical Engineering 1997; 21 (6): 661-673.
    • (1997) Computers & Chemical Engineering , vol.21 , Issue.6 , pp. 661-673
    • Raich, A.1    Cinar, A.2
  • 33
    • 0035868948 scopus 로고    scopus 로고
    • Integration of multivariable SPM and FDD by parity space technique for a food pasteurization process
    • Kosebalaban F, Cinar A,. Integration of multivariable SPM and FDD by parity space technique for a food pasteurization process. Computers & Chemical Engineering 2001; 25: 473-491.
    • (2001) Computers & Chemical Engineering , vol.25 , pp. 473-491
    • Kosebalaban, F.1    Cinar, A.2
  • 34
    • 0034643075 scopus 로고    scopus 로고
    • Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis
    • Chiang LH, Russell EL, Braatz RD,. Fault diagnosis in chemical processes using Fisher discriminant analysis, discriminant partial least squares, and principal component analysis. Chemometrics and Intelligent Laboratory Systems 2000; 50: 243-252.
    • (2000) Chemometrics and Intelligent Laboratory Systems , vol.50 , pp. 243-252
    • Chiang, L.H.1    Russell, E.L.2    Braatz, R.D.3
  • 35
    • 2342505830 scopus 로고    scopus 로고
    • Fault diagnosis based on Fisher discriminant analysis and support vector machines
    • Chiang LH, Kotanchek ME, Kordon AK,. Fault diagnosis based on Fisher discriminant analysis and support vector machines. Computers & Chemical Engineering 2004; 28 (8): 1389-1401.
    • (2004) Computers & Chemical Engineering , vol.28 , Issue.8 , pp. 1389-1401
    • Chiang, L.H.1    Kotanchek, M.E.2    Kordon, A.K.3
  • 38
    • 67349245154 scopus 로고    scopus 로고
    • Reconstruction-based contribution analysis for process monitoring
    • Alcala C, Qin J,. Reconstruction-based contribution analysis for process monitoring. Automatica 2009; 45 (7): 1593-1600.
    • (2009) Automatica , vol.45 , Issue.7 , pp. 1593-1600
    • Alcala, C.1    Qin, J.2
  • 41
    • 0036527052 scopus 로고    scopus 로고
    • An intelligent system for multivariable statistical process monitoring and diagnosis
    • Tatara E, Cinar A,. An intelligent system for multivariable statistical process monitoring and diagnosis. ISA Transactions 2002; 41: 255-270.
    • (2002) ISA Transactions , vol.41 , pp. 255-270
    • Tatara, E.1    Cinar, A.2
  • 42
    • 0033904448 scopus 로고    scopus 로고
    • Intelligent process monitoring by interfacing knowledge-based systems and multivariate statistical monitoring
    • Norvilas A, Negiz A, Cinar A,. Intelligent process monitoring by interfacing knowledge-based systems and multivariate statistical monitoring. Journal of Process Control 2000; 10: 341-350.
    • (2000) Journal of Process Control , vol.10 , pp. 341-350
    • Norvilas, A.1    Negiz, A.2    Cinar, A.3
  • 43
    • 79960874749 scopus 로고    scopus 로고
    • Adaptive agent-based system for process fault diagnosis
    • DOI: 10.1021/ie102058d
    • Perk S, Teymour F, Cinar A,. Adaptive agent-based system for process fault diagnosis. Industrial & Engineering Chemistry Research 2011; 50 (15): 9138-9155. DOI: 10.1021/ie102058d.
    • (2011) Industrial & Engineering Chemistry Research , vol.50 , Issue.15 , pp. 9138-9155
    • Perk, S.1    Teymour, F.2    Cinar, A.3
  • 45
    • 0031208457 scopus 로고    scopus 로고
    • Statistical monitoring of multivariable dynamic processes with state space models
    • Negiz A, Cinar A,. Statistical monitoring of multivariable dynamic processes with state space models. AIChE Journal 1997; 43 (8): 2002-2020.
    • (1997) AIChE Journal , vol.43 , Issue.8 , pp. 2002-2020
    • Negiz, A.1    Cinar, A.2
  • 46
    • 0029517196 scopus 로고
    • A unifying theorem for three subspace system identification algorithms
    • Van OverSchee P, DeMoor B,. A unifying theorem for three subspace system identification algorithms. Automatica 1995; 31: 1853-1864.
    • (1995) Automatica , vol.31 , pp. 1853-1864
    • Van Overschee, P.1    Demoor, B.2
  • 48
    • 13244286586 scopus 로고    scopus 로고
    • Consistency analysis of some closed-loop subspace identification methods
    • Chiuso A, Picci G,. Consistency analysis of some closed-loop subspace identification methods. Automatica 2005; 41: 377-391.
    • (2005) Automatica , vol.41 , pp. 377-391
    • Chiuso, A.1    Picci, G.2
  • 49
    • 85060241996 scopus 로고    scopus 로고
    • Closed-loop subspace identification with innovation estimation
    • Rotterdam, NL
    • Qin SJ, Ljung L,. Closed-loop subspace identification with innovation estimation. Proceedings of the 13th IFAC SYSID Symposium, Rotterdam, NL, 2003; 887-892.
    • (2003) Proceedings of the 13th IFAC SYSID Symposium , pp. 887-892
    • Qin, S.J.1    Ljung, L.2
  • 51
    • 19244375599 scopus 로고    scopus 로고
    • Multivariable MPC system performance assessment, monitoring and diagnosis
    • Schafer J, Cinar A,. Multivariable MPC system performance assessment, monitoring and diagnosis. Journal of Process Control 2004; 14: 113-129.
    • (2004) Journal of Process Control , vol.14 , pp. 113-129
    • Schafer, J.1    Cinar, A.2
  • 52
    • 0003919624 scopus 로고    scopus 로고
    • Addison-Wesley Longman Publishing: Menlo Park, CA
    • ∞ Methods. Addison-Wesley Longman Publishing: Menlo Park, CA, 1999.
    • (1999) ∞ Methods
    • Burl, J.B.1
  • 53
    • 0036680990 scopus 로고    scopus 로고
    • Disturbance modeling for offset-free linear model predictive control
    • Muske KR, Badgwell TA,. Disturbance modeling for offset-free linear model predictive control. Journal of Process Control 2002; 12: 617-632.
    • (2002) Journal of Process Control , vol.12 , pp. 617-632
    • Muske, K.R.1    Badgwell, T.A.2
  • 54
    • 0027545221 scopus 로고
    • Model predictive control with linear models
    • Muske KR, Rawlings JB,. Model predictive control with linear models. AIChE Journal 1993; 39: 262-287.
    • (1993) AIChE Journal , vol.39 , pp. 262-287
    • Muske, K.R.1    Rawlings, J.B.2
  • 55
    • 0037328973 scopus 로고    scopus 로고
    • Disturbance models for offset-free model-predictive control
    • Pannocchia G, Rawlings JB,. Disturbance models for offset-free model-predictive control. AIChE Journal 2003; 49: 426-437.
    • (2003) AIChE Journal , vol.49 , pp. 426-437
    • Pannocchia, G.1    Rawlings, J.B.2
  • 57
  • 58
    • 33847729499 scopus 로고    scopus 로고
    • Control of complex distributed systems with distributed intelligent agents
    • Tatara E, Teymour F, Cinar A,. Control of complex distributed systems with distributed intelligent agents. Journal of Process Control 2007; 17 (5): 415-427.
    • (2007) Journal of Process Control , vol.17 , Issue.5 , pp. 415-427
    • Tatara, E.1    Teymour, F.2    Cinar, A.3
  • 59
    • 33745769720 scopus 로고    scopus 로고
    • Agent-based control of spatially distributed chemical reactor networks
    • Brueckner S.A. DiMarzo Serugendo G. Hales D. Zambonelli F. (eds), Lecture Notes in Computer Science Series. Springer: Heidelberg, FRG
    • Tatara E, North MJ, Hood C, Teymour F, Cinar A,. agent-based control of spatially distributed chemical reactor networks. In Engineering Self-Organising Systems: Third International Workshop Revised Selected Papers, vol. 3910, Brueckner SA, DiMarzo Serugendo G, Hales D, Zambonelli F, (eds), Lecture Notes in Computer Science Series. Springer: Heidelberg, FRG, 2006; 221-231.
    • (2006) Engineering Self-Organising Systems: Third International Workshop Revised Selected Papers , vol.3910 , pp. 221-231
    • Tatara, E.1    North, M.J.2    Hood, C.3    Teymour, F.4    Cinar, A.5
  • 60
    • 0030262558 scopus 로고    scopus 로고
    • Multivariate SPC methods for process and product monitoring
    • Kourti T, MacGregor JF,. Multivariate SPC methods for process and product monitoring. Journal of Quality Technology 1996; 28: 409-428.
    • (1996) Journal of Quality Technology , vol.28 , pp. 409-428
    • Kourti, T.1    MacGregor, J.F.2
  • 61
    • 0000246790 scopus 로고
    • Principal components and factor analysis: Part i-principal components
    • Jackson JE,. Principal components and factor analysis: part i-principal components. Journal of Quality Technology 1980; 12: 201-213.
    • (1980) Journal of Quality Technology , vol.12 , pp. 201-213
    • Jackson, J.E.1
  • 62
    • 0001282938 scopus 로고    scopus 로고
    • On unifying multiblock analysis with application to decentralized process monitoring
    • Qin SJ, Valle S, Piovoso MJ,. On unifying multiblock analysis with application to decentralized process monitoring. Journal of Chemometrics 2001; 15: 715-742.
    • (2001) Journal of Chemometrics , vol.15 , pp. 715-742
    • Qin, S.J.1    Valle, S.2    Piovoso, M.J.3
  • 64
    • 0001369487 scopus 로고    scopus 로고
    • Hierarchical multiblock PLS and PC models for easier model interpretation and as an alternative to variable selection
    • Wold S, Kettaneh N, Tjessem K,. Hierarchical multiblock PLS and PC models for easier model interpretation and as an alternative to variable selection. Journal of Chemometrics 1996; 10: 463-482.
    • (1996) Journal of Chemometrics , vol.10 , pp. 463-482
    • Wold, S.1    Kettaneh, N.2    Tjessem, K.3
  • 65
    • 0034621334 scopus 로고    scopus 로고
    • Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis
    • Russell EL, Chiang LH, Braatz RD,. Fault detection in industrial processes using canonical variate analysis and dynamic principal component analysis. Chemometrics and Intelligent Laboratory Systems 2000; 51: 81-93.
    • (2000) Chemometrics and Intelligent Laboratory Systems , vol.51 , pp. 81-93
    • Russell, E.L.1    Chiang, L.H.2    Braatz, R.D.3
  • 66
    • 11144325691 scopus 로고
    • Partial least squares regression: A tutorial
    • Geladi P, Kowalski BR,. Partial least squares regression: a tutorial. Analytica Chimica Acta 1986; 185: 1-17.
    • (1986) Analytica Chimica Acta , vol.185 , pp. 1-17
    • Geladi, P.1    Kowalski, B.R.2
  • 67
    • 0040980696 scopus 로고    scopus 로고
    • Detection and diagnosis of abnormal batch operations based on multiway principal component analysis
    • Nomikos P,. Detection and diagnosis of abnormal batch operations based on multiway principal component analysis. ISA Transactions 1996; 35: 147-168.
    • (1996) ISA Transactions , vol.35 , pp. 147-168
    • Nomikos, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.