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David E. Acuña-Ureta
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Year
Particle-filtering-based failure prognosis via sigma-points: Application to Lithium-Ion battery State-of-Charge monitoring
DE Acuña, ME Orchard
Mechanical Systems and Signal Processing 85, 827-848, 2017
802017
A theoretically rigorous approach to failure prognosis
DE Acuna, ME Orchard
Annual Conference of the Prognostics and Health Management Society, 2018
302018
Computation of time probability distributions for the occurrence of uncertain future events
DE Acuña-Ureta, ME Orchard, P Wheeler
Mechanical Systems and Signal Processing 150, 107332, 0
16
Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design
DE Acuña, ME Orchard, RJ Saona
Applied Soft Computing 72, 647-665, 2018
132018
Prognostic Algorithms Design Based on Predictive Bayesian Cramér-Rao Lower Bounds
DE Acuña, ME Orchard
IFAC-PapersOnLine 50 (1), 4719-4726, 2017
82017
Particle-filtering-based state-of-health estimation and end-of-life prognosis for lithium-ion batteries at operation temperature
D Pola, F Guajardo, E Jofré, V Quintero, A Pérez, D Acuna, M Orchard
Proc. Annu. Conf. Prognostics Health Manag. Soc., 137-146, 2016
82016
Multiple-imputation-particle-filtering for uncertainty characterization in battery state-of-charge estimation problems with missing measurement data: performance analysis and …
DE Acuna, ME Orchard, JF Silva, A Pérez
Int J Prog Health Manage, 2015
82015
On Prognostic Algorithm Design and Fundamental Precision Limits in Long-Term Prediction
ME Orchard, DE Acuña
Predictive Maintenance in Dynamic Systems, 355-379, 2019
52019
Modeling and Prediction of Criminal Activity Based on Spatio-Temporal Probabilistic Risk Functions
P Flores, M Vergara, P Fuentes, F Jaramillo, D Acuna, A Perez, M Orchard
Annual Conference of the Prognostics and Health Management Society 6, 2015
42015
A Gentle Correctness Verification of the Theory of Uncertain Event Prognosis to Compute Failure Time Probability
D Acuña-Ureta, M Orchard
Annual Conference of the PHM Society 14 (1), 2022
22022
Near-instantaneous battery End-of-Discharge prognosis via uncertain event likelihood functions
DE Acuña-Ureta, ME Orchard
ISA Transactions, 2022
22022
Multiple-imputation-particle-filtering scheme for uncertainty characterization in battery state-of-charge estimation problems with missing measurement data
DE Acuna, ME Orchard, JF Silva, A Pérez
Annual Conference of the Prognostics and Health Management Society 5 (037), 1-9, 2014
22014
Theoretical Advances in Lebesgue-Sampling-Based Prognostic Algorithms
DE Acuña, ME Orchard, C Reyes, B Zhang
2019 Prognostics and System Health Management Conference (PHM-Paris), 7-12, 2019
12019
Application of Multiple-imputation-particle-filter for Parameter Estimation of Visual Binary Stars with Incomplete Observations
R Clavería, D Acuña, R Méndez, J Silva, M Orchard
Annual Conference of the Prognostics and Health Management Society 2016 7, 12, 2016
12016
Underlying Probability Measure Approximated by Monte Carlo Simulations in Event Prognostics
D Acuña-Ureta, M Orchard
Annual Conference of the PHM Society 15 (1), 2023
2023
Theoretical foundations uncertain event prognosis and predictive Bayesian Cramér-Rao bounds
DE Acuña Ureta
Universidad de Chile, 2020
2020
Particle Filter-based Estimation of Orbital Parameters of Visual Binary Stars with Incomplete Observations
R Claverıa, D Acuna, RA Méndez, JF Silva, ME Orchard
Revista Mexicana de Astronomia y Astrofisica Conference Series 50, 52-53, 2018
2018
Manejo de incertidumbre ante pérdida parcial o total de datos en algoritmos basados en métodos secuenciales de Monte Carlo y nueva definición de probabilidad de falla en el …
DE Acuña Ureta
Universidad de Chile, 2016
2016
Fundamentals of Sequential System Monitoring and Prognostics Methods
DE Acuña-Ureta, J Chiachío-Ruano, M Chiachío-Ruano, ME Orchard
Bayesian Inverse Problems, 39-60, 0
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Articles 1–19