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Fuzzy logic application for fault isolation of actuators

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper is focused particularly on application of fuzzy logic approach for solving fault isolation problem of some class of industrial actuators described in the benchmark actuator definition [1]. Particular attention was paid for searching of applicable and acceptable solutions in terms of industrial implementations. The rational solution of the problem of setting fuzzy partitions for residual evaluation was proposed. The industrial benchmark study was applied for evaluating of proposed approach by means of the real process data acquired in normal and abnormal process states. The chosen examples of achieved results concerning fault isolability issues are presented.
Rocznik
Strony
89--102
Opis fizyczny
Bibliogr. 28 poz., rys., tab., wykr.
Twórcy
autor
  • Warsaw University of Technology, [Politechnika Warszawska], Institute of Automatic Control and Robotics, Św. Andrzeja Boboli 8, 02-525 Warszawa
  • Warsaw University of Technology, [Politechnika Warszawska], Institute of Automatic Control and Robotics, Św. Andrzeja Boboli 8, 02-525 Warszawa
  • Warsaw University of Technology, [Politechnika Warszawska], Institute of Automatic Control and Robotics, Św. Andrzeja Boboli 8, 02-525 Warszawa
Bibliografia
  • [1] M. Bartyś, R. Patton, M. Syfert, S. de las Heras, J. Quevedo. Introduction to the DAMADICS actuator FDI benchmark study. Control Engineering Practice, Special Issue, 2005. in press
  • [2] M. Bartyś, J. Calado, R. Patton, J. Quevedo. Fault diagnosis of industrial actuators in a sugar factory: a European study. Computing @ Control Engineering Journal, 13(5): 247-253, 2002.
  • [3] M. Bartyś, J.M. Kościelny. Application of Fuzzy Logic Fault Isolation Methods for Actuator Diagnosis. ”IB-th IFAC World Congress, 21-26 July, Barcelona, 2002.
  • [4] M. Blanke, M. Kinnaert, J. Lunze, M. Staroswiecki. Diagnosis and Fault-Tolerant Control. Springer, 2003.
  • [5] J.M.F. Calado, .J. Korbicz, K. Patan, R. Patton, .J. Sa da Costa. Soft computing approaches to fault diagnosis for dynamic systems. European Journal of Control, 7(2-3): 248-286, 2001.
  • [6] L.H. Chiang, EL. Russel, R.D. Bratz. Fault detection and diagnosis in industrial systems. Springer Verlag London, 2001.
  • [7] P.M. Frank. Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy. Automatica 26: 459-474, 1990.
  • [8] PM. Frank, T. Marcu. Diagnosis strategies and system: Principle, Fuzzy and Neural Approaches. Intelligent Systems and Interfaces. Kluwer, Chapter 11, 2000.
  • [9] E. Frisk, D. Dilek, M. Krysander, V. Cocquempot. lmproving Fault lsolability Properties by Structural Analyse of faulty Behaviour Models: Application to the DAMADICS Benchmark Problem. 5-th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2003, Washington, USA: 1.209-1214, 2003.
  • [10] F.C. Garcia, V. lzquierdo, L. de Miguel, .l. Peran. Fuzzy Identification Of Systems and its Applications to Fault Diagnosis Systems. IFA C Symposium on Fault Detection Supervision and Safety for technical processes SAFEPROCESS ”97, Kingston Upon Hull, 2: 705-712, 1997.
  • [11] .J. Gertler. Fault Detection and Diagnosis in Engineering Systems. Marcel Dekker, Inc. New York - Basel – Hong Kong, 1998.
  • [12] R. Isermann, U. Raab. lnteligent actuators - ways to autonomous actuating systems. Automatica 29 (5), 1993.
  • [13] .J. Korbicz, J.M. Kościelny, Z. Kowalczuk, W. Cholewa. Fault Diagnosis. Models. Artificial intelligence. Applications, Springer Verlag, 2004.
  • [14] J.M. Kościelny, M. Bartyś. Fuzzy logic application for diagnostic reasoning. 5-th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2003, Washington, USA: 633-638, 2003.
  • [15] .J.M. Kościelny. Application of fuzzy logic fault isolation in a three-tank system. Mth World Congress IFAC, Bejing: 73-78, 1999.
  • [16] J.M. Kościelny, D. Sędziak, K. Zakroczymski. Fuzzy logic fault isolation in large scale systems. International Journal of Applied Mathematics and Computer Science, 9 (3): 637-652, 1999.
  • [17] J.M. Kościelny, M. Syfert, M. Bartyś. Fuzzy logic fault diagnosis of industrial process actuators. International Journal of Applied Mathematics and Computer Science, 9 (3): 653-666, 1999.
  • [18] J.M. Kościelny, M. Bartyś. Application of information system theory for actuator diagnosis. 14th IFAC Sympsium on Fault Detection, Supervision and Safety for Technicial Process - SAFEPROCESS' 2000, Budapest, Hungary,
  • 2: 949-954, 2000.
  • [19] .I . Lunze, P. Supavatanakul. Application of timed automata to the diagnosis of the damadics benchmark problem. 5-th IFA C Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 20003 Washington, USA: 1185-1190, 2003.
  • [20] M.A. Massounmia, WE. Van der Velde. Generating parity relation for detecting and identifying control System component failures. Journal of Guidance, Control and Dynamics, 11: 60-65, 1988.
  • [21] M. Mediavilla, L.J. de Miguel, P. Vega. Isolation of multiplicative faults in the industrial actuator benchmark. IFA C Symposium on Fault Detection, Supervision and Safety for Technical Process - SAFEPROCESS 97,
  • Kingston Upon Hull: 855-860, 1997.
  • [22] R. Oehler, A. Schoenhoff, M. Schreiber. On-line model based fault detection and diagnosis for a smart aircraft actuator. IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes - SAFEPROCESS'97, Kingston Upon Hull: 591-596, 1997.
  • [23] R.. Patton, P. Frank, R.. Clark. Issues of Fault Diagnosis for Dynamic Systems. Springer, 2000.
  • [24] M. Phatak, N. Wiswanadham. Actuator Fault Detection and Isolation in Linear Systems. Int. J. Sys. Sci (1,2): 2593-2603, 1998.
  • [25] F. Previdi, T. Parisini. Model-free actuator fault detection using a spectral estimation approach: the case of Phadamadics benchmark problem. 5-th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2003, USA: 951-956, Washington, 2003.
  • [26] M. Tombs. Intelligent and self-validating sensors and actuators. Special Feature Editorial in: Computing & Control Engineering Journal, 13 (5): 218-220, 2002.
  • [27] J.C. Ynag, D.W. Clarke. The Self-Validating Actuator. Control Engineering Practice. 7: 249-260, 1999.
  • [28] R.R. Yager, D.P. File Essentials of Fuzzy modelling and Control, Wiley &Sons, INC., 1994.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPB1-0019-0028
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