Journal publications
Journal publications
Embedded Files
Rozas, H., Gebraeel, N., & Xie, W. (2025). On the Computation of Contextual Distributionally Robust Preventive Maintenance Intervals. IEEE Transactions on Reliability. https://doi.org/10.1109/TR.2025.3603869
Rozas, H., Xie, W., Gebraeel, N., & Robinson, S. (2025). Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach. European Journal of Operational Research. https://doi.org/10.1016/j.ejor.2025.06.025
Rozas, H., Xie, W., & Gebraeel, N. (2024). Condition-Based Maintenance for Wind Farms Using a Distributionally Robust Chance Constrained Program. IEEE Transactions on Power Systems. https://doi.org/10.1109/TPWRS.2024.3406335
Rozas, H., Basciftci, B., & Gebraeel, N. (2024). Data-driven joint optimization of maintenance and spare parts provisioning for deep space habitats: A stochastic programming approach. Acta Astronautica, 214, 167-181. https://doi.org/10.1016/j.actaastro.2023.10.028
Ibrahim, M., Rozas, H., & Gebraeel, N. (2024). An integrated detection-prognostics methodology for components with intermittent faults. Journal of Computing and Information Science in Engineering, 24(6). https://doi.org/10.1115/1.4065212
Futalef, J. P., Muñoz-Carpintero, D., Rozas, H., & Orchard, M. E. (2023). An online decision-making strategy for routing of electric vehicle fleets. Information Sciences, 625, 715-737. https://doi.org/10.1016/j.ins.2022.12.108
Shi, J., Rozas, H., Yildirim, M., & Gebraeel, N. (2023). A stochastic programming model for jointly optimizing maintenance and spare parts inventory for IoT applications. IISE Transactions, 55(4), 419-431. https://doi.org/10.1080/24725854.2022.2127164
Rozas, H., Troncoso-Kurtovic, D., Ley, C. P., & Orchard, M. E. (2021). Lithium-ion battery State-of-Latent-Energy (SoLE): A fresh new look to the problem of energy autonomy prognostics in storage systems. Journal of Energy Storage, 40, 102735. https://doi.org/10.1016/j.est.2021.102735
Rozas, H., Muñoz-Carpintero, D., Saéz, D., & Orchard, M. E. (2021). Solving in real-time the dynamic and stochastic shortest path problem for electric vehicles by a prognostic decision making strategy. Expert Systems with Applications, 184, 115489. https://doi.org/10.1016/j.eswa.2021.115489
Díaz, C., Quintero, V., Pérez, A., Jaramillo, F., Burgos-Mellado, C., Rozas, H., ... & Cárdenas, R. (2020). Particle-filtering-based prognostics for the state of maximum power available in lithium-ion batteries at electromobility applications. IEEE Transactions on Vehicular Technology, 69(7), 7187-7200. https://doi.org/10.1109/TVT.2020.2993949
Rozas, H., Jaramillo, F., Perez, A., Jimenez, D., Orchard, M. E., & Medjaher, K. (2020). A method for the reduction of the computational cost associated with the implementation of particle-filter-based failure prognostic algorithms. Mechanical Systems and Signal Processing, 135, 106421. https://doi.org/10.1016/j.ymssp.2019.106421
Peer-reviewed Conference Papers
Peer-reviewed Conference Papers
Allendes, C., Beltrán, A., García, J. E., Troncoso-Kurtovic, D., Masserano, B., Schiele, B. B., ... Rozas, H & Rangarajan, S. (2024, November). Modeling and Simulation of Thermal Effects on Electrical Behavior in Lithium-Ion Cells. In Annual Conference of the PHM Society (Vol. 16, No. 1). https://doi.org/10.36001/phmconf.2024.v16i1.4080
Perez, A., Rozas, H., Jaramillo, F., Quintero, V., and Orchard, M. (2019). A simulation engine for the characterization of capacity degradation processes in lithium-ion batteries undergoing heterogeneous operating conditions. In Annual Conference of the PHM Society (Vol. 11, No. 1). https://doi.org/10.36001/phmconf.2019.v11i1.855
Perez, A., Quintero, V., Jaramillo, F., Rozas, H., Jimenez, D., Orchard, M., and Moreno, R. (2018). Characterization of the degradation process of lithium-ion batteries when discharged at different current rates. Proceedings of the Institution ofMechanical Engineers, Part I: Journal of Systems and Control Engineering, 232(8). https://doi.org/10.1177/0959651818774481
Rozas, H., Munoz-Carpintero, D., Perez, A., Medjaher, K., and Orchard, M. (2018). An approach to prognosis-decision-making for route calculation of an electric vehicle considering stochastic traffic information. In the Fourth European Conference of the Prognostics and Health Management Society 2018. https://doi.org/10.36001/phme.2018.v4i1.440
Rozas, H., Claveria, R. M., Orchard, M. E., and Medjaher, K. (2018). Residual- based scheme for detection and characterization of faults in lithium-ion batteries. IFAC-PapersOnLine, 51(24), 200-207. https://doi.org/10.1016/j.ifacol.2018.09.578
Perez, A., Quintero, V., Rozas, H., Jimenez, D., Jaramillo, F., and Orchard, M. (2017). Lithium ion battery pack arrays for lifespan enhancement. In 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) (pp. 1-5). https://doi.org/10.1109/CHILECON.2017.8229537
Perez, A., Quintero, V., ´ Rozas, H., Jaramillo, F., Moreno, R., and Orchard, M. (2017). Modelling the degradation process of lithium-ion batteries when operating at erratic state-of-charge swing ranges. In 2017 4th international conference on control, decision and information technologies (codit) (pp. 0860-0865). https://doi.org/10.1109/CoDIT.2017.8102703
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