Centre de Recerca en Supervisió, Seguretat i Control Automàtic

Comparteix:

i-Sense

Making Sense Of Nonsense, FP7-ICT-270428, de 2011 a 2014.

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i-Sense main objective

The main objective of this project is to develop intelligent data processing methods for analyzing and interpreting the data such that faults are detected (and whereas possible anticipated), isolated and identified as soon as possible, and accommodated for in future decisions or actuator actions. The problem becomes more challenging when these sensing/actuation systems are used in a wide range of environments which are not known a priori and, as a result, it is unrealistic to assume the existence of an accurate model for the behavior of various components in the monitored environment. Therefore, this project will focus on cognitive system approaches that can learn characteristics or system dynamics of the monitored environment and adapt their behavior and predict missing or inconsistent data to achieve fault tolerant monitoring and control.

i-Sense CS2AC-UPC

In the framework of the iSense project, research group works on the implementation of Fault Diagnosis and Fault Tolerant Control (passive, active, model predictive) strategies in different applications suggested by the different partners involved, as for example, Water Distribution Networks, Robotic Systems and Intelligent Buildings. In case of Water Networks, the case study used in the project is the Barcelona Transport Network (which supplies water to approximately three million consumers, distributed in 23 municipalities in a 424 m2 area) among others (e.g. Environmental Monitoring, Smart Buildings, Robotic Applications). A model of the Barcelona water network which may simulate certain types of faults that may occur in different elements of this network (e.g. actuators, sensors) is also developed by research group, in order to use it as a benchmark by all the partners involved in the project. Furthermore, data validation and reconstruction strategies are also developed, in order to be applied in the applications presented.

 

CS2AC-UPC contribution

Journal Papers

  • Rosich, A., Frisk, E., Aslund, J., Sarrate, S. and Nejjari, F. (2011), Fault Diagnosis Based On Causal Computations. IEEE Transactions on Systems, Man and Cybernetics Part A: Systems and Humans.<doi: 10.1109/TSMCA.2011.2164063>
  • Blesa, J., Puig, V., Saludes, J. (2011), Robust Fault Diagnosis based on Uncertain LPV MIMO Parity Equations and Zonotopes. Journal of Process Control. (To appear).

Conference Papers

  • Ocampo-Martinez, C., Bovo, S., Puig, V. (2011), Partitioning approach oriented to the decentralised predictive control of large-scale systems. Journal of Process Control, vol. 21, n. 5, pp. 775-786. <doi:10.1016/j.jprocont.2010.12.005>
  • Sarrate, R., Nejjari, F., Rosich, A., (2012), Model-based Optimal Sensor Placement Approaches to Fuel Cell Stack System Fault Diagnosis, in the Proceedings of the 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, IFAC SAFEPROCESS 2012, Mexico City, Mexico.<doi:10.3182/20120829-3-MX-2028.00233>
  • Sarrate, R., Nejjari, F., Rosich, A., (2012), Sensor Placement for Fault Diagnosis Performance Maximization under Budgetary Constraints, in the Proceedings of the 2nd International Conference on Systems and Control (ICSC'12), Marrakech, Morocco.
  • Rosich, A., (2012), Sensor Placement for Fault Detection and Isolation based on Structural Models, in the Proceedings of the 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, IFAC SAFEPROCESS 2012, Mexico City, Mexico. pdf.
  • Sarrate, R., Nejjari, F., Rosich, A., (2012). Sensor Placement for Fault Diagnosis Performance Maximization in Distribution Networks, in the Proceedings of IEEE Mediterranean Control Conference MED'12, Barcelona, Spain. <doi: 10.1109/MED.2012.6265623>
  • Rosich, A., Sarrate, R., Nejjari, F. (2012), Optimal Sensor Placement for Leakage Detection and Isolation in Water Distribution Networks, in the Proceedings of the 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Mexico City, Mexi. <doi:10.3182/20120829-3-MX-2028.00232>
  • Escobet, T., Quevedo, J., Puig, V. (2012), A Fault/Anomaly System Prognosis using a Data-driven Approach considering Uncertainty, in the Proceedings of the 2012 IEEE World Congress on Computational Intelligence.<doi: 10.1109/IJCNN.2012.6252688>
  • Teresa Escobet, Vicenç Puig, and Fatiha Nejjari (2012), Health Aware Control and Model-Based Prognosis, in the Proceedings of the IEEE Mediterranean Control Conference MED'12. Barcelona, Spain. <doi: 10.1109/MED.2012.6265718>
  • Rotondo, D., Nejjari, F., Puig, V., Blesa, J. (2012), Fault Estimation and Virtual Actuator FTC Approach for LPV Systems, in the Proceedings of the 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Mexico City, Mexico.<doi:10.3182/20120829-3-MX-2028.00142>
  • Rotondo, D., Nejjari, F., Puig, V., Blesa, J. (2012), FTC Design for Polytopic LPV Systems subject to Actuator Saturations, in the Proceedings of the IEEE Mediterranean Control Conference MED'12. Barcelona, Spain. <doi: 10.1109/MED.2012.6265691>
  • Rotondo, D., Nejjari, F., Puig, V., Blesa, J. (2012), Fault Tolerant Control of the Wind Turbine Benchmark using Virtual Sensors/Actuators, in the Proceedings of the 8th IFAC Symposium on Fault Detection, Supervision and Safety of Technical Processes, Mexico City, Mexico. <doi:10.3182/20120829-3-MX-2028.00185>

Book Chapters

  • Escobet, T., Quevedo, J., Puig, V., Nejjari, F., (2012), Combining Health Monitoring and Control. Chapter of the book title: Diagnostics and Prognostics of Engineering Systems: Methods and Techniques. Editor: Seifedine Kadry.