14
Views
7
CrossRef citations to date
0
Altmetric
Original Articles

FAULT DETECTION AND DIAGNOSIS IN BATCH AND SEMI-BATCH PROCESSES USING ARTIFICIAL NEURAL NETWORKS

, &
Pages 39-71 | Received 22 Sep 1994, Accepted 01 Aug 1995, Published online: 10 May 2007

REFERENCES

  • Bruit, N and McAvoy , T.J. Use of Neural Nets for Dynamic Modelling and Control of Chemical Process System , Computers Chem. Engng. , 14 , 573 ( 1990 ).
  • Chang, C. C, and Yu , C. C. On-line Fault Diagnosis Using the Signed Directed Graph , Ind. Eng. Chem. Res. , 29 , 1290 ( 1990 ).
  • Chang , C. T. , Mah. K. N., and Tsai , C. S. A Simple Design Strategy for Fault Monitoring Systems , AlChE J. 1993 , 39 ( 7 ), 1146 ( 1993 ).
  • Chen , C. S. Fault Detection and Diagnosis in Dynamic Systems using Artificial Neural Network , M.S. Thesis , National Cheng Kung University ( 1993 ) .
  • Chester , D. , Lamb , D. , and Dhurjati , P. Ruled-based Computer Alarm Analysis in Chemical Process Plants , Proc. Micro-Delcon Newark , 22 ( 1984 ).
  • Chow , E. Y. , and Willsky , A. S. Analytic Redundancy and the Design of Robust Failure Detection System , IEEE Trans, on Automatic Control , 29 , 603 ( 1984 ).
  • Clark , R. N. , Frank , P. M. , and Patton , R. J. Fault Diagnosis in Dynamic Systems Theory and Applica-tions , Prentice Hall New York ( 1991 ) .
  • Cooper , D. J. , Megan , L. , and Hinde , R. F. Comparing two Neural Networks for Pattern Based Adaptive Process Control , AlChE J. , 38 ( 1 ), 41 ( 1992 ).
  • Davis , J. F. , Punch III , W. F. , Shum , S. K. , and Chandrasekaran , B. Application of Knowledge-Based Systems for the Diagnosis of Operating Problems , AlChE 1985 Annl. Mtg. Chicago ( 1985 ).
  • Gertler , J. ,Singer, D. A New Structural Framework for Parity Equation Based Failure Detection and Isolation , Automatic , 26 , 381 ( 1990 ).
  • Himmelblau , D. M. Fault Detection and Diagnosis in Chemical and Petrochemical Process , Elsevier Amsterdam ( 1978 ) .
  • Himmelblau , D. M. Use of Artificial Neural Networks to Monitor Faults and for Troubleshooting in the Process Industries , IF AC On-line Fault Detection and Superuision in the Chemical Industries Delaware , USA , 201 ( 1992 ).
  • Hoskins, J. G, and Himmelblau , D. M. Artificial Neural Networks Models of Knowledge Representa-tion in Chemical Engineering , Computers Chem. Engng. , 12 , 881 ( 1988 ).
  • Hoskins, J. C, Kalivur , K. M. , and Himmelblau , D. M. Fault-Diagnosis in Complex Chemical-Plants Using Artificial Neural Networks , AlChE J. , 37 , 137 ( 1991 ).
  • Iri , M. , Aoki , K. , O'Shima , E. , and Matsuyama , H. An Algorithm for Diagnosis of System Failures in the Chemical Process , Computers Chem. Engng. , 3 , 489 ( 1979 ).
  • Isermann , R. Process Fault detection Based on Modeling and Estimation Methods-A Survey , Auto-malica , 20 ,( 4 ), 387 ( 1984 ).
  • Koshijima, 1. and Niida , K. Neural Network Approach to Fault Detection under Unsteady State Operation , IFAC On-line Fault Detection and Supervision in the Chemical Industries Delaware , USA , 231 ( 1992 ).
  • Kramer , M. A. Malfunction Diagnosis Using Quantitative Models and Non-Boolean Reasoning in Expert Systems , AlChE J. , 33 , 130 ( 1987a ).
  • Kramer , M. A. ,Palowitch Jr, B L. A Ruled-Based Approach to Fault Diagnosis Using the Signed Directed Graph , AlChE J. , 33 ( 7 ), 1067 ( 1987b ).
  • Kramer , M. A. , and Leonard , J. A. Diagnosis using Backpropogation Neural Networks-Analysis and Criticism , Computers Chem. Engng. , 14 , 1323 ( 1990 ).
  • Kramer , M. A. , and Mah , R. S. H. Model-based Monitoring , Second Conference on Foundations of Computer Aided Process Operations Crested Butte, CO. , ( July ), 1 ( 1993 ).
  • Kumamolo , H. , and Henley , E. J. Application of Expert System Techniques to Fault Diagnosis , AlChE I9S4 Annl. Mtg. San Francisco ( 1984 ) .
  • Lee , M. ,Park, S. A New Scheme Combining Neural Feedforward Control With Model-Predictive Control , AlchE J. , 38 ( 2 ), 193 ( 1992 ).
  • Lee, S. G and Park , S. W. On-Line Fault Diagnosis of a Distillation Column using an Artificial Neural Network , IF AC On-line Fault Detection and Supervision in the Chemical Industreis Delaware , USA , 243 ( 1992 ).
  • Leonard , J. A. , and Kramer , M. A. Radial Basis Function Networks for Classifying Process Faults , IEEE Control Systems Magazine , 11 , 31 ( 1991 ).
  • Li , R. , and Olson , J. H. Fault Detection and Diagnosis in a Closed-Loop Nonlinear Distillation Process Application of Extended Kalman Filters. Ind. Eng. Chem. Res. , 30 , 898 ( 1991 ).
  • Naidu , S. R. , Zafiriou. E., and McAvoy , T. J. Use of Neural Networks for Sensor Failure Detection in a Control System , IEEE Control System Magazine , April , 49 ( 1990 ).
  • Park , S. , and Himmelblau , D. M. Fault Detection and Diagnosis via Parameter Estimation in Lumped Dynamic System , Ind. Eng. Chem. Res. , 22 , 482 ( 1983 ).
  • Petti , T. F. , Klein , J. , and Dhurjati , P. S. Diagnostic Model Processor Using Deep Knowledge for Process Fault Diagnosis , AlChE J. , 36 , 565 ( 1991 ).
  • Psichogios, D. C,Ungar. L. H. Direct and Indirect Model Based Control Based Control Using Artificial Neural Networks , Ind. Eng. Chem. Res. , 30 , 2564 ( 1991 ).
  • Qin , S. Z. , Su , H.T. , and McAvoy , T.J. Comparison of Four Neural Net Learning Methods for Dynamic System Identification , IEEE Trans. Neural Networks , 3 ( 1 ), 122 – 130 ( 1992 ).
  • Quantrille , T. E. , and Liu , Y. A. Artificial Intelligence in Chemical Engineering ; Academic Press San Diego , ( 1991 ) .
  • Rich , S. H. , and Venkatasubraminian , V. Model-based Reasoning in Diagnostic Expert Systems for Chemical Process Plants , Computers Chem. Engng. , 11 ( 2 ), 111 ( 1987 ).
  • Schenker , B. , and Agarwal , M. Feedback Neural Nets for Supervision of Dynamic Processes , IF AC On-line Fault Detection and Supervision in the Chemical Industries Delaware , USA , 225 ( 1992 ).
  • Shiozaki , J. , Matsuyama , H. , O'Shima , E. ,and Iri , M. An Improved Algorithm for Diagnosis of System Failures in the Chemical Process , Computers Chem. Enyng. , 9 , 285 ( 1985a ).
  • Shiozaki , J. , Matsuyama , H. , Tano , K. , and O'Shima , E. Fault Diagnosis of Chemical Processes by the use of Signed, Directed Graphs Extension to five-range patterns of abnormality , International Chemical Engineering , 25 ( 4 ), 651 ( 1985b ).
  • Shum , S. K. , Davis , J. F. , Punch III , W. F. , and Chandrasekaran , B. An Expert Systems Approach to Malfunction Diagnosis in Chemical Plants , Computers Chem. Engny. , 12 , 27 ( 1988 ).
  • Smith , C. A. , and Corripio , A. B. Principles and Practice of Automatic Process Control ; John Wiley & Sons New York , 527 ( 1985 ).
  • Stanley , G. M. , and Mah , R. S. H. Estimation of Flows and Temperatures in Process Networks , AIChE J. , 23 ( 5 ), 642 ( 1977 ).
  • Su , H. T. , and McAvoy , T. J. Identification of Chemical Processes using Recurrent Networks , Proc. of American Control Conf. Boston , June , 2314 ( 1991 ).
  • Su, H. T,, and McAvoy , T. J. Long-Term Predictions of Chemical Processes Using Recurrent Neural Networks A Parallel Training Approach , Ind. Eng. Chem. Res. , 31 , 1338 ( 1992 ).
  • Thibault , J. Feedforward Neural Networks for the Identification of Dynamic Process , Chem. Eng. Comm. 105 , 109 ( 1991 ).
  • Tsunge , Y. , Shiozaki , J. , Matuyama , H. , and O'Shima , E. Fault Diagnosis Algorithms Based on the Signed Directed Graph and its Modifications , l. Chem. Eng. Symp. Ser. , 92 , 133 ( 1985 ).
  • Ungar, L. H Powell , B. A. , and Kamens , S. N. Adaptive Networks for Fault Diagnosis and Process Control , Computers Chem. Engny. , 14 , 561 ( 1990 ).
  • Vaidyanathan , R. , and Venkatasubramanian , V. Process Fault Detection and Diagnosis using Neural Networks II. Dynamic Processes , AIChE Annual Meeting Chicago , IL , November ( 1990 ).
  • Venkatasubramanian , V. ,Chan, K. A Neural Network Methodology for Process Fault Diagnosis , AIChE J. , 35 , 1993 ( 1989 )
  • Venkatasubramanian , V. , Vaidyanathan , R. , and Yamamoto , Y. Process Fault Detection and Diagnosis using Neural Network I. Steady-State Processes , Computers Chem. Engng. , 14 , 699 ( 1990 ).
  • Watanabe , K. , and Himmelblau , D. M. Fault Diagnosis in Nonlinear Chemical Processes. AIChE J. , 29 , 137 ( 1987 ).
  • Watanabe , K. , Himmelblau. D. M. Fault Diagnosis in Nonlinear Chemical Processes Part (I) -Theory , AIChE J. , 29 ( 2 ) 243 ( 1983a ).
  • Watanabe , K. , and Himmelblau , D. M. Fault Diagnosis in Nonlinear Chemical Processes Part (II) -Application to a Chemical Reactor , AIChE J. , 29 ( 2 ) 250 ( 1983b ).
  • Watanabe , K. , Matsuura I. , Abe , M. , Kubota , M. , and Himmelblau , D. M. Incipient Fault Diagnosis of Chemical Process via Artificial Neural Networks , AIChE J. , 35 , 1803 ( 1989 ).
  • Wünnenberg , J. , and Frank , P. M. Dynamic Model-Based Incipient Fault Detection Concepts for Robots. Proc. 11th IF AC World Congress Tallin ( 1990 ) .
  • You , Y. , and Nikolaou , M. Dynamic Process Modelling with Recurrent Neural Networks , AIChE J. , 39 , ( 10 ), 1654 ( 1993 ).
  • Yu , C. C, and Lee , C. Fault Diagnosis Based on Qualitative/Quantitative Process Knowledge , AIChE J. , 37 , 617 ( 1991 ).

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.