Critical Infrastructure Online Fault Detection: Application in Water Supply Systems

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8985)


In this paper we first introduce a testbed that is able to emulate the operation and common faults of a water supply system, as well as its interaction with a SCADA system. Then we implement an online fault detection algorithm based on a fault diagnosis architecture for nonlinear uncertain discrete-time systems, that we apply and test with the testbed. We finally present some experimental results illustrating the effectiveness of this approach.


Critical infrastructures Water supply systems Fault detection Testbed Modelling Discrete-time systems 


  1. 1.
    Council directive (2008/114/EC) on the identification and designation of European critical infrastructures and the assessment of the need to improve their protection. Off. J. Eur. Union 345, 75–86 (2008)Google Scholar
  2. 2.
    EU Project FACIES: Online identification of Failure and Attack on interdependent Critical InfrastructurES (2012).
  3. 3.
    Blanke, M., Kinnaert, M., Lunze, J., Staroswiecki, M.: Diagnosis and Fault-Tolerant Control, 2nd edn. Springer, Heidelberg (2006)zbMATHGoogle Scholar
  4. 4.
    Borutzky, W., Barnard, B., Thoma, J.: An orifice flow model for laminar and turbulent conditions. Simul. Model. Pract. Theory 10(3–4), 141–152 (2002)CrossRefzbMATHGoogle Scholar
  5. 5.
    Chen, J., Patton, R.: Robust Model-Based Fault Diagnosis for Dynamic Systems, 3rd edn. Springer, New York (1999)CrossRefzbMATHGoogle Scholar
  6. 6.
    Ferrari, R.M.G., Parisini, T., Polycarpou, M.: A fault detection and isolation scheme for nonlinear uncertain discrete-time sytems. In: 2007 46th IEEE Conference on Decision and Control, pp. 1009–1014 (2007)Google Scholar
  7. 7.
    Gray, J.: Water contamination events in UK drinking-water supply systems. J. Water Health 6(1), 21–26 (2008)CrossRefGoogle Scholar
  8. 8.
    Herrera, M., Torgo, L., Izquierdo, J., Pérez-García, R.: Predictive models for forecasting hourly urban water demand. J. Hydrol. 387(1–2), 141–150 (2010)CrossRefGoogle Scholar
  9. 9.
    Isermann, R.: Supervision, fault-detection and fault-diagnosis methods – an introduction. Control Eng. Pract. 5(5), 639–652 (1997)CrossRefGoogle Scholar
  10. 10.
    Islam, M., Sadiq, R., Rodriguez, M.J., Najjaran, H., Francisque, A., Hoorfar, M.: Water distribution system failure: a framework for forensic analysis. Environ. Syst. Decisions 34(1), 168–179 (2014)CrossRefGoogle Scholar
  11. 11.
    Lindström, M., Olsson, S.: The European programme for critical infrastructure protection. In: Olsson, S. (ed.) Crisis Management in the European Union, pp. 37–59. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  12. 12.
    Moteff, J., Parfomak, P.: Critical Infrastructure and Key Assets: Definition and Identification. Tech. report, Congressional Research Service (2004)Google Scholar
  13. 13.
    Polycarpou, M., Ellinas, G., Kyriakides, E., Panayiotou, C.: Intelligent health monitoring of critical infrastructure systems. In: Complexity in Engineering, COMPENG 2010, pp. 18–20 (2010)Google Scholar
  14. 14.
    Polycarpou, M.: Stable learning scheme for failure detection and accommodation. In: Proceedings of the 1994 IEEE International Symposium on Intelligent Control, pp. 315–320 (1994)Google Scholar
  15. 15.
    Ratnayaka, D.D., Brandt, M.J., Johnson, M.: Water Supply, 6th edn. Butterworth-Heinemann, Boston (2009)Google Scholar
  16. 16.
    Smet, J., Wijk, C. (eds.): Small Community Water Supplies: Technology, People and Partnership. IRC International Water and Sanitation Centre (2002)Google Scholar
  17. 17.
    Tabesh, M., Soltani, J., Farmani, R., Savic, D.: Assessing pipe failure rate and mechanical reliability of water distribution networks using data-driven modeling. J. Hydroinformatics 11(1), 1–17 (2009)CrossRefGoogle Scholar
  18. 18.
    White, F.M.: Fluid Mechanics, 7th edn. Mcgraw-Hill, New York (2011)Google Scholar
  19. 19.
    Zhang, X., Polycarpou, M., Parisini, T.: A robust detection and isolation scheme for abrupt and incipient faults in nonlinear systems. IEEE Trans. Autom. Control 47(4), 576–593 (2002)MathSciNetCrossRefzbMATHGoogle Scholar
  20. 20.
    Zhang, Y., Jiang, J.: Bibliographical review on reconfigurable fault-tolerant control systems. Ann. Rev. Control 32(2), 229–252 (2008)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Department of Electrical and Computer Engineering, KIOS Research Center for Intelligent Systems and NetworksUniversity of CyprusNicosiaCyprus
  2. 2.Complex Systems and Security LabUniversity Campus Bio-Medico of RomeRomeItaly
  3. 3.Roma Tre UniversityRomeItaly

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