Nejjari Akhi-Elarab, Fatiha

Salazar, Jean Carlo

Sarrate Estruch, Ramon

English

UPCommons

System reliability upper bound assessment for health-aware control of complex systems

UPCommons. Portal del coneixement obert de la UPC

Jean C. Salazar Universitat Politècnica de Catalunya jean.salazar@upc.edu Ramon Sarrate Universitat Politècnica de Catalunya ramon.sarrate@upc.edu Fatiha Nejjari Universitat Politècnica de Catalunya fatiha.nejjari@upc.edu System reliability upper bound assessment for health-aware control of complex systems Research Details  1. Enumerate the minimal path sets 𝑷𝑗 2. Compute the structure function   3. Compute the system reliability upper bound   4. Compute the components reliability   5. Compute the MPC weights based on a normalized component Birnbaum's measure Logo of your University or Institution About 7” × 7” Research Objective This work investigates the possibility of using an approximate computation of the system reliability into a HAC scheme. Specifically, an upper bound of the system reliability will be computed in order to overcome the computational problem of determining the exact system reliability of a complex system and its integration into a health-aware control strategy [1]. Expected Contributions • A HAC scheme for complex systems based on the system reliability upper bound computation. • A reduction of the system reliability computation cost  by using the upper bound approximation. State of Research  Even with the approximate approach, better system reliability results than in the nominal case are obtained. Next Steps • These results encourage us to do further research in the domain of HAC for complex systems. • Investigate the use of a system reliability lower bound approximation to implement the HAC methodology. Acknowledgments and References This work has been funded by the Spanish Ministry of Science and Technology through the projects CICYT HARCRICS (ref. DPI2014-58104-R), CICYT SCAV (ref. DPI2017-88403-R), and by the DGR of Generalitat de Catalunya (SAC group Ref. 2017/SGR/482). Fourth European Conference of Prognostics and Health Management Society 3-6 July 2018, Utrecht,  The Netherlands Student Poster [1]   Salazar, J. C., Weber, P., Nejjari, F., Sarrate, R., & Theilliol, D. (2017). System reliability aware model predictive control framework. Reliability Engineering & System Safety, 167 , 663 - 672. System reliability evolutions DWN and water demand Control scheme MPC weight evolutions Tank volumes Control actions MPC scheme tuning methodology Computation times Comparative study Three case studies: exact approach (                      ), approximate approach (                     ), nominal approach            (          , no reliability feedback). 

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System reliability upper bound assessment for health-aware control of complex systems

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