Reliability importance measures for a health-aware control of drinking water networks
Visualitza/Obre
10.1109/SYSTOL.2016.7739810
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/103559
Tipus de documentText en actes de congrés
Data publicació2016
EditorIEEE Press
Condicions d'accésAccés obert
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Abstract
This work focuses on a health-aware Model Predictive Control (MPC) scheme, which aims at enhancing the availability of the system. The objective is to extend the uptime of the system by delaying, as much as possible the system reliability decay. The weights of the MPC cost function are set according to some reliability importance measures. This work describes the main reliability importance measures and studies which of them are best suited for a health-aware MPC strategy applied to a Drinking Water Network. The overall system reliability as well as the reliability importance measures are computed online through a Dynamic Bayesian Network.
Descripció
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
CitacióSalazar, J., Nejjari, F., Sarrate, R., Weber, P., Theilliol, D. Reliability importance measures for a health-aware control of drinking water networks. A: International Conference on Control and Fault-Tolerant Systems. "SYSTOL 2016 - 3rd Conference on Control and Fault-Tolerant Systems, Barcelona, Spain, Sept. 7-9, 2016, proceedings book". Barcelona: IEEE Press, 2016, p. 557-563.
ISBN978-1-5090-0658-8
Col·leccions
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Systol 16 paper 20.pdf | postprint | 2,429Mb | Visualitza/Obre |