ANFIS based sensor fault detection for continuous stirred tank reactor

Applied Soft Computing Journal

Volumn 11, Issue 2, 2011, Pages 2618-2624

  Sabura Banu, U ^a   Uma, G ^b  

^a B S ABDUR RAHMAN CRESCENT INSTITUTE OF SCIENCE AND TECHNOLOGY   (India)

^b ANNA UNIVERSITY   (India)

Author keywords

ANFIS observer; Continuous stirred tank reactor; Dedicated observer; Fault detection

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS OBSERVER; CONTINUOUS STIRRED TANK REACTOR; DEDICATED OBSERVER; HIGHLY NONLINEAR; OPERATING REGIONS; SENSOR FAULT; SENSOR FAULT DETECTION; UNSTABLE STEADY STATE;

FUZZY INFERENCE; FUZZY SYSTEMS; SENSORS; TANKS (CONTAINERS);

FAULT DETECTION;

EID: 78751629446     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.10.009     Document Type: Conference Paper

References (17)

1. A. Evsukoff, and R. Schirru Neuro-fuzzy systems for fault detection and isolation in nuclear reactors The 10th IEEE International Conference on Fuzzy Systems 2001
2. R. Patton, P.P. Frank, and R. Clark Fault Diagnosis in Dynamic Systems, theory and Application 1989 Prentice Hall Britain
3. A.S. Willsky A survey of design methods for failure detection in dynamic systems Automatica 12 1976 601 611
4. P.M. Frank Fault diagnosis in dynamic systems using analytical and knowledge based redundancy - a survey and some new results Automatica 26 1990 459 474
5. R. Isermann Process fault detection and diagnosis methods IFAC Symposium SAFEPROCESS '94, Finland, vol. 2 1994 597 612
6. J.J. Gertler A survey of model based failure detection and isolation in complex plant IEEE Control Syst. Mag. 8 1988 3 11
7. O.M. Al-Jarrah, and M. Al-Rousan Fault detection and accommodation in dynamic systems using adaptive neuro fuzzy inference systems IEE Proc-Control Theory Appl. 148 4 2001
8. D. Fassel, and P. Baslle Combining neuro fuzzy and machine learning for fault diagnosis of a DC motor Proc. American Control Conference 1997
9. F.J. Uppal, and R.J. Patton Fault diagnosis of an electro pneumatic valve actuator using neural network with fuzzy capabilities Proc. European Symposium on ANN Belgium 2002
10. Y. Diao, and M. Passino Fault Diagnosis for a Turbine Engine, Control Engineering Practice Magazine 2004 Elsevier
11. A. Srinivasan, and C. Batur Hopfield/ART-1 neural network based fault detection and isolation IEEE Trans. Neural Network 5 6 1994
12. S. Naidu, E. Zafirou, and T.J. McAvoy Use of neural networks for failure detection in a control system IEEE Control Syst. Mag. 10 1990 49 55
13. R.J. Patton, J. Chen, and T.M. Siew Fault diagnosis in nonlinear dynamic systems via neural networks Proc. of Control '94, Coventry, UK, vol. 2 1994 1346 1351
14. A. Kumagai, T. Liu, and P. Hozian Control of shape memory alloy actuators with a neuro-fuzzy feedforward model element J. Intell. Manuf. 1 2006 45 56
15. M. Mordjaoui, M. Chabane, B. Boudjema, and H. Zaier Neuro-fuzzy modeling for dynamic ferromagnetic hysteresis 4th International Conference on Computer Integrated Manufacturing CIP 2007
16. J.S. Roger, and C.T. Sun Neuro-fuzzy modeling and control IEEE Trans. Syst. Man Cybern. 23 3 1993 665 685
17. J. Timothy, and Ross Fuzzy Logic with Engineering Applications 1997 Tata McGraw Hill