Fault detection and diagnosis of an industrial steam turbine using a distributed configuration of adaptive neuro-fuzzy inference systems

Simulation Modelling Practice and Theory

Volumn 19, Issue 5, 2011, Pages 1280-1293

  Salahshoor, Karim ^a   Khoshro, Majid Soleimani ^b   Kordestani, Mojtaba ^c  

^a PETROLEUM UNIVERSITY OF TECHNOLOGY   (Iran)

^b Iran Power Plant Projects Management Company ^*  (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

ANFIS; Distributed monitoring; Fault detection and diagnosis (FDD); Pattern classification; Steam turbine

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ANFIS; ANFIS CLASSIFIER; DATA-DRIVEN; DIAGNOSTIC INFORMATION; DIAGNOSTIC PERFORMANCE; DISTRIBUTED CONFIGURATION; DISTRIBUTED MONITORING; EXPERIMENTAL STUDIES; FAULT DETECTION AND DIAGNOSIS; FAULT DETECTION AND DIAGNOSIS (FDD); FAULT TIME; FDD SYSTEMS; IN-PROCESS; MEASURED DATA; MONITORING APPLICATIONS; PATTERN CLASSIFICATION; TEST SCENARIO; TRAINING AND TESTING;

BOILERS; CONDITION MONITORING; FUZZY INFERENCE; FUZZY SYSTEMS; INDUSTRY; MARINE ENGINES; STEAM; STEAM POWER PLANTS; STEAM TURBINES; TRACKING (POSITION);

FAULT DETECTION;

EID: 79952343929     PISSN: 1569190X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.simpat.2011.01.005     Document Type: Article

References (46)

1. R. Beebe Condition monitoring of steam turbine by performance analysis Journal of Quality in Maintenance Engineering 9 2003 102 112
2. M. Kinnaert, Fault diagnosis based on analytical models for linear and nonlinear systems - a tutorial, in: Proceedings of the IFAC Symposium on Fault Detection, Supervision and Safety for Technical Process, SAFEPROCESS'2003. Washington (USA), 2003.
3. J. Chen, and R.J. Patton Robust Model-based Fault Diagnosis for Dynamic Systems 1999 Kluwer Academic Publishers.
4. M. Blanke, M. Kinnaert, J. Lunze, and M. Staroswiecki Diagnosis and Fault Tolerant Control 2003 Springer Berlin Heidelberg, Germany pp. 571
5. S. Gentil, J. Montmain, and C. Combastel Combining FDI and AI approaches within casual-model-based diagnosis IEEE Transaction on Systems, Man and Cybernetics - Part B: Cybernetics 34 5 2004 2207 2221
6. M. Basseville, Model-based statistical signal processing and decision theoretic approaches to monitoring, In: Proceedings of the IFAC Symposium on Fault Detection, Supervision and Safety for Technical Process, SAFEPROCESS'2003. Washington (USA), 2003.
7. S. Lesecq, A. Barraud, Arcing fault detection using wavelet transform, in: Fifth IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, SAFEPROCESS' 2003, Washington (USA), 2003.
8. A. Evsukoff, and S. Gentil Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors Advanced Engineering Informatics 19 2005 55 66 (Pubitemid 41000266)
9. K.C. Cotton Evaluating and Improving Steam Turbine Performance 1988 Cotton Fact Inc
10. A. Zaleta-Aguilar, L. Correas-Uson, J. Kubiak-Szyszka, and F. Sierra-Espinosa Concept on thermo-economic evaluation of steam turbines Applied Thermal Engineering 27 2007 457 466 (Pubitemid 44557161)
11. WU Jun-fun, HU Nian-su, HU Sheng, YU Zhao. Application of SOM neural network in fault diagnosis of the steam turbine regenerative system, in: Conference on Machine Learning and Cybernetics, Beijing, 2002.
12. A. Quteishat, and C. Peng Lim A Modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification Applied Soft Computing 2008 985 995 (Pubitemid 350266493)
13. C. Karlsson, J. Arriagada, and M. Genrup Detection and interactive isolation of faults in steam turbines to support maintenance decisions Simulation Modeling Practice and Theory 2008 1689 1703
14. A. Widodo, and B. Yang Review Support vector machine in machine condition monitoring and fault diagnosis Mechanical Systems and Signal Processing 2007 2560 2574 (Pubitemid 46829756)
15. E. Zhang, H. Zhang, B. Xue, Application of integrated neural network based on information combination for fault diagnosis in steam turbine generator, in: Conference on Condition Monitoring and Diagnosis, IEEE, 2008.
16. Ch. Hung, M. Wang, Ch. Cheng, W. Lin, Fault diagnosis of steam turbine-generator using CMAC neural network approach, in: Neural Network, Proceedings of the International Joint Conference IEEE, 0-7803-7898-9/03, 2003.
17. Ch. Wu, H. Yan, J. Ma, Method research of noise diagnosis based on fuzzy neural network, in: Proceedings of Fourth International Conference on Signal Processing, IEEE, 2:1370-1373, 1998.
18. T. Harris, L. Gamlyn, P. Smith, J. MacIntyre, A. Brason, R. Palmer, H. Smith, A. Slater, Neural-Maine intelligent on-Line multiple sensor diagnostics for steam turbines in power generation, in: Proceedings of IEEE International Conference on Neural Networks, vol. 2, 1995, pp. 686-691.
19. Y. Zhang, Sh. Huang, W. Gao, T. Shen, Vibration fault diagnosis of steam turbine shafting based on probability neural networks, in: Congress on Image and Signal Processing, IEEE, 2008.
20. U. Moon, and Y. Lee A boiler-turbine system control using a fuzzy auto-regressive moving average (FARMA) model IEEE Transaction on Energy Conversion 18 1 2003 142 148
21. Q. Fu, Y. Shen, J. Zhang, Sh. Liu, An approach to fault diagnosis based on a hierarchical information fusion scheme, in: Instrumentation and Measurement Technology Conference, Budapest, IEEE, 2001.
22. Q. Guo, Q. Tang, Data mining based on improved neural network and its application in fault diagnosis of steam turbine, in: Congress on Intelligent Control and Automation, IEEE, 2008.
23. Z. Tian, H. Zhang, Y. Wang, Failure diagnosis of steam turbine-generator set based on genetic algorithm and BP network, in: Conference on Intelligent Systems Design and Applications (ISDA'06), IEEE, 0-7695-2528-8/06, 2006.
24. P. Han, D. Zhang, L. Zhou, S. Jiao, Steam turbine fault diagnosis method based on rough set theory and Bayesian network, in: Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, IEEE, 2007, pp. 419-422.
25. L.A. Zadeh Fuzzy sets Information and Control 8 1965 338 353
26. T.J. Ross, Fuzzy logic with Engineering Applications, London, 2004.
27. S. Chen, Y. Xu, A kind of least squares support vector machines for pattern classification, in: Proceedings of the 6th International FLINS Conference, 2004, pp. 308-313.
28. A. Habbi, M. Zelmat, Design of a fuzzy model-based controller for a drum boiler-turbine system, in: Proceedings of the 6th International FLINS Conference, 2004, pp. 649-654.
29. J. Du, M.J. Er, Fault diagnosis in air-handling unit system using dynamic fuzzy neural network, in: Proceedings of the 6th International FLINS Conference, 2004, pp. 483-488.
30. M. Marseguerra, E. Zio, and P. Avogadri Model identification by neurofuzzy techniques: predicting the water level in a steam generator of a PWR Progress in Nuclear Energy 44 3 2004 237 252
31. J.S. Jang ANFIS: Adaptive network-based fuzzy inference systems IEEE Transactions on Systems. Man and Cybernetics 1993 665 685
32. D. Nauck, and R. Kruse A Neuro-fuzzy method to learn fuzzy classification rules from data Fuzzy Sets Systems 89 1997 277 288 (Pubitemid 127699103)
33. J.-R.S. Jang, C.-T. Sun, and E. Mizutani Neuro-fuzzy and Soft Computing-a Computational Approach to Learning and Machine Intelligence 1997 Prentice Hall
34. M. Ayoubi, and R. Isermann Neuro-fuzzy systems for diagnosis Fuzzy Sets and Systems 89 1997 289 307 (Pubitemid 127699104)
35. W.C. Tsai, T.P. Tsao, and C. Chyn A nonlinear model for the analysis of the turbine-generator vibrations including the design of a flywheel damper Electrical Power and Energy Systems 1997 469 479 (Pubitemid 127417443)
36. A. Chaibakhsh, and A. Ghaffari Steam turbine model Simulation Modeling Practice and Theory 2008 1145 1162
37. H. Takagi, and I. Hayashi Artificial neural network driven fuzzy reasoning Journal of Approximate. Reasoning 1991 191 212
38. A. Hasiloglu, M. Yilmaz, O. Comakli, and I. Ekmekci Adaptive neuro-fuzzy modeling of transient heat transfer in circular duct air flow International Journal of Thermal Sciences 2004 1075 1090
39. C.P. Bellanca Diagnostic monitoring of solid particle erosion in steam turbines IEEE Transactions on Energy Conversion 3 1988 249 253
40. M. Genrup, On Degradation and Monitoring Tools for Gas and Steam Turbines. Ph.D. Thesis, Lund University, 2005.
41. J. Kubiak, A. García-Gutiérrez, and B. Urquiza The diagnosis of turbine component degradation: case stories Applied Thermal Engineering 2002 1955 1963 (Pubitemid 35152406)
42. R. Svoboda, M. Bodmer, Deposits and corrosion in steam turbines, in: ABB Power Generation TEZ 87-20, Paper Presented at Ringhals, Sweden, 1987.
43. J.H. Bulloch, and A.G. Callagy Malfunctions of a steam turbine mechanical control system Engineering Failure Analysis 1995 235 240
44. A. Whitehead, and K.T. Sullivan Carryover and its effects on efficiency, operation and maintenance of industrial steam turbines Pulp and Paper Canada 1983 309 313
45. O. Lyle The Efficient Use of Steam 1958 Her Majesty's Stationery Office UK
46. S. Simani, and C. Fantuzzi Dynamic system identification and model-based fault diagnosis of an industrial gas turbine prototype Mechatronics 2006 341 363 (Pubitemid 43668823)