References
- Bartyś, M., Kościelny, J.M. and Rzepiejewski, P. (2005). Fuzzy logic application for fault isolation of actuators, Computer Assisted Mechanics and Engineering Sciences12(2-3): 89-102.
- Blanke, M., Kinnaert, M., Lunze, J. and Staroswiecki, M. (2003). Diagnosis and Fault-Tolerant Control, Springer-Verlag, Berlin/Heidelberg/New York, NY.
- Chen, J. and Patton, R.J. (2012). Robust Model-based Fault Diagnosisfor Dynamic Systems, Springer, London.
- Frank, P.M. (1990). Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy-a survey and some new results, Automatica 26(3): 459-474.
- Gertler, J. (1997). Fault detection and isolation using parity relations, Control Engineering Practice 5(5): 653-661.
- Gertler, J. (1998). Fault Detection and Diagnosis in EngineeringSystems, Marcel Dekker Inc., New York, NY.
- Isermann, R. (2006). Fault Diagnosis Systems. An Introductionfrom Fault Detection to Fault Tolerance, Springer-Verlag, New York, NY.
- Korbicz, J., Ko´scielny, J. M., Kowalczuk, Z. and Cholewa, W. (Eds.) (2004). Fault Diagnosis. Models, ArtificialIntelligence, Applications, Springer-Verlag, Berlin/Heildelberg/New York, NY.
- Korbicz, J. and Ko´scielny, J.M. (Eds.) (2010). Modelling,Diagnostics and Process Control. Implementation in theDiaSter System, Springer-Verlag, Berlin/Heildelberg.
- Kościelny, J.M. (2001). Diagnostics of Automatized IndustrialProcesses, Academic Printing Office EXIT, Warsaw, (in Polish).
- Kościelny, J.M. and Barty´s, M. (2000). Application of information system theory for actuator diagnosis, IFACSymposium on Fault Detection, Supervision and Safetyfor Technical Processes, Budapest, Hungary, Vol. 2, pp. 949-954.
- Kościelny, J.M. and Barty´s, M. (2003). Fuzzy logic application for diagnostic reasoning, 5th IFAC Symposium on FaultDetection, Supervision and Safety for Technical ProcessesSAFEPROCESS 2003, Washington, DC, USA, pp. 633-638.
- Kościelny, J.M., S˛edziak, D. and Zakroczymski, Z. (1999). Fuzzy-logic fault isolation in large-scale systems, InternationalJournal of Applied Mathematics and Computer Science9(3): 637-652.
- Kościelny, J.M. and Syfert, M. (2006). Fuzzy diagnostic reasoning that takes into account the uncertainty of the faults-symptom relation, International Journal of AppliedMathematics and Computer Science 16(3): 27-35.
- Patton, R., Frank, P. and Clark, R. (1989). Fault Diagnosis inDynamic Systems. Theory and Applications, Prentice Hall, Engelwood Cliffs, NJ.
- Patton, R., Frank, P. and Clark, R. (Eds.) (2000). Issues ofFault Diagnosis for Dynamic Systems, Springer-Verlag, Berlin/Heildelberg/New York, NY.
- Syfert, M. (2006). The issue of diagnostic relation uncertainty and fault conditional isolability, Proceedings of 6th IFACSymposium, SAFEPROCESS 2006, Beijing, China, Vol. 1, pp. 747-752.
- Venkatasubramanian, V., Rengaswamy, R. and Kavuri, S.N. (2003). A review of process fault detection and diagnosis, Part II: Quantitative model based methods, Computers andChemical Engineering 27(3): 293-311.