29
Views
1
CrossRef citations to date
0
Altmetric
Original Articles

Diagnosis of abrupt faults using variable‐structure neural network

, , &
Pages 567-574 | Received 03 Aug 1999, Accepted 10 Apr 2000, Published online: 03 Mar 2011

References

  • Chen , S. , Billings , S.A. and Grant , P. M. 1990 . “Non‐linear System Identification Using Neural Networks” . Int. J. Control , 51 : 1191 – 1214 .
  • Chang , M. P. , Chang , D. S. and Yu , C. C. 1999 . “Nonlinear State Estimation Using Variable‐Structure Neural Network” . J. Chin. Inst. Chem. Eng. , 30 : 289
  • Grewal , M. S. and Andrews , A. P. 1993 . Kalman Filtering: Theory and Practice , Englewood‐Cliff, NJ : Prentice‐Hall .
  • Huang , C. T. , Lin , M. Y. and Huang , M. C. 1999 . “Tuning PID Controllers for Processes with Inverse Responses Using Artificial Neural Networks” . J. Chin. Inst. Chem. Eng. , 30 : 223
  • Hsu , Y. Y. and Yu , C. C. 1990 . “A Self‐Learning Fault Diagnosis System Based on Reinforcement Learning” . Ind. Eng. Chem. Res. , 31 : 1937
  • Isermann , R. 1984 . “Process Fault Detection Base on Modeling and Estimation Methods‐ A Survey” . Automatica , 20 : 387
  • Jang , S. S. , Joseph , B. and Mukai , H. 1986 . “Comparison of Two Approaches to On‐line Parameter and State Estimation of Nonlinear Systems” . Ind. Eng. Chem. Process Des. Dev. , 25 : 809
  • Karjala , T. W. and Himmelblau , D. M. 1994 . “Dynamic Data Rectification by Recurrent Neural Networks vs. Traditional Methods” . AIChE J. , 40 : 1865 – 1875 .
  • Karjala , T. W. and Himmelblau , D. M. 1996 . “Dynamic Rectification of Data via Recurrent Neural Networks and the Extended Kalman Filter” . AIChE J. , 42 : 2225 – 2239 .
  • Liebman , M. J. , Edgar , T. F. and Lasdon , L. S. 1992 . “Efficient Data Reconciliation and Estimation for Dynamic Processes Using Nonlinear Programming Techniques” . Comput. Chem. Eng. , 16 : 963 – 986 .
  • Muske , K. R. and Edgar , T. F. 1997 . “Nonlinear State Estimation” . In Nonlinear Process Control Edited by: Henson , M.A. and Seborg , D.E.
  • Narendra , K. S. and Parthasarathy , K. 1990 . “Identification and Control of Dynamical Systems Using Neural Networks” . IEEE Trans. Neural Networks , 1 : 4 – 27 .
  • Kramer , M. A. and Palowitch , B. C. Jr. 1990 . “A Rule‐Based Approach to Fault Diagnosis Using Signed Directed Graph” . AIChE J. , 33 : 1067
  • Park , S. and Himmelblau , D. M. 1983 . “Fault Detection and Diagnosis via Parameter Estimation in Lumped Parameter Systems” . Ind. Eng. Chem. Process Des. Dev. , 22 : 482 – 487 .
  • Petti , T. F. , Klein , J. and Dhurjati , P. S. 1990 . “Deep Model Processor: Using Deep Knowledge for Process Fault Detection” . AIChE J. , 36 : 565
  • Qin , S. Z. , Su , H. T. and McAvoy , T. J. 1992 . “Comparison of Four Neural Net Learning Methods for Dynamic System Identification” . IEEE Trans. Neural Networks , 3 : 122 – 130 .
  • Su , H. T. and McAvoy , T. J. 1997 . “Artificial Neural Networks for Nonlinear Process Identification and Control” . In Nonlinear Process Control , Edited by: Hanson , M.A. and Seborg , D.E. NJ : Prentice‐Hall .
  • Tung , H. H. , Luan , D. N. and Yu , C. C. “Identification of Nonlinear Dynamic System Using Hybrid Neural Networks” . preprints of IFAC Workshop on On‐Line Fault Detection and Supervision in the Chemical Process Industries . June . pp. 248 – 253 . UK : Newcastle upon Type .
  • Tung , H. H. , Luan , D. N. , Chang , D. S. and Yu , C. C. 1996 . “A Kalman Filter Type of Neural Network for Dynamic Modeling and Data Rectification” . J. Chin. Inst. Chem. Eng. , 27 : 493 – 509 .
  • Willis , M. J. , Montague , G. A. , DiMassimo , C. , Tham , M. T. and Morris , A. J. 1992 . “Artificial Neural Networks in Process Estimation and Control” . Automatica , 28 : 1181 – 1187 .
  • Yu , C. C. and Lee , C. 1992 . “Fault Diagnosis Based on Qualitative/Quantitative Process Knowledge” . AIChE J. , 37 : 617
  • Correspondence addressee

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.