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Scopus Author ID: 56470550200

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Chile

Biography

Dr. David E. Acuña-Ureta is Assistant Professor with the Department of Mechanical and Metallurgical Engineering at Pontificia Universidad Católica de Chile, Chile. He received a double PhD degree in Electrical and Electronic Engineering from the University of Nottingham, UK, and from Universidad de Chile, Chile. His research interests include theoretical foundations of event prognosis, real-time condition monitoring, and risk-aware control systems.

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Employment (1)

Pontificia Universidad Católica de Chile: Santiago, Región Metropolitana, CL

2020-06-01 to present | Assistant Professor (Department of Mechanical and Metallurgical Engineering)
Employment
Source: Self-asserted source
David E. Acuña-Ureta

Works (15)

Expected First Occurrence Time of Uncertain Future Events in One-Dimensional Linear Systems

Annual Conference of the PHM Society
2024-11-05 | Journal article
DOI: 10.36001/phmconf.2024.v16i1.4116
Contributors: David E. Acuña-Ureta; Diego I. Fuentealba-Secul; Marcos E. Orchard
Source: check_circle
Crossref

Underlying Probability Measure Approximated by Monte Carlo Simulations in Event Prognostics

Annual Conference of the PHM Society
2023-10-26 | Conference paper
DOI: 10.36001/phmconf.2023.v15i1.3536
Part of ISSN: 2325-0178
Part of ISSN: 2325-0178
Contributors: David Acuña-Ureta; Marcos Orchard
Source: Self-asserted source
David E. Acuña-Ureta

Near-instantaneous battery End-of-Discharge prognosis via uncertain event likelihood functions

ISA Transactions
2023-04 | Journal article
DOI: 10.1016/j.isatra.2022.09.040
Contributors: David E. Acuña-Ureta; Marcos E. Orchard
Source: check_circle
Crossref

Gentle Correctness Verification of the Theory of Uncertain Event Prognosis to Compute Failure Time Probability

Annual Conference of the PHM Society
2022-10-28 | Conference paper | Author
DOI: 10.36001/phmconf.2022.v14i1.3175
Part of ISSN: 2325-0178
Part of ISSN: 2325-0178
Contributors: David E. Acuña-Ureta; Marcos Orchard
Source: Self-asserted source
David E. Acuña-Ureta
grade
Preferred source (of 2)‎

Computation of time probability distributions for the occurrence of uncertain future events

Mechanical Systems and Signal Processing
2021-03 | Journal article
DOI: 10.1016/j.ymssp.2020.107332
Part of ISSN: 0888-3270
Source: Self-asserted source
David E. Acuña-Ureta

On prognostic algorithm design and fundamental precision limits in long-term prediction

Predictive Maintenance in Dynamic Systems: Advanced Methods, Decision Support Tools and Real-World Applications
2019 | Book chapter
Part of DOI: 10.1007/978-3-030-05645-2_12
EID:

2-s2.0-85064372578
Contributors: Orchard, M.E.; Acuña, D.E.
Source: Self-asserted source
David E. Acuña-Ureta via Scopus - Elsevier

Theoretical Advances in Lebesgue-Sampling-Based Prognostic Algorithms

2019 Prognostics and System Health Management Conference (PHM-Paris)
2019-05 | Conference paper
DOI: 10.1109/phm-paris.2019.00009
ISBN: 9781728103297
Source: Self-asserted source
David E. Acuña-Ureta

Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design

Applied Soft Computing Journal
2018 | Journal article
DOI: 10.1016/j.asoc.2018.01.033
EID:

2-s2.0-85043471280
Contributors: Acuña, D.E.; Orchard, M.E.; Saona, R.J.
Source: Self-asserted source
David E. Acuña-Ureta via Scopus - Elsevier

Particle-filtering-based failure prognosis via sigma-points: Application to Lithium-Ion battery State-of-Charge monitoring

Mechanical Systems and Signal Processing
2017 | Journal article
DOI: 10.1016/j.ymssp.2016.08.029
EID:

2-s2.0-84995505148
Contributors: Acuña, D.E.; Orchard, M.E.
Source: Self-asserted source
David E. Acuña-Ureta via Scopus - Elsevier

Prognostic Algorithms Design Based on Predictive Bayesian Cramér-Rao Lower Bounds

IFAC-PapersOnLine
2017 | Journal article
DOI: 10.1016/j.ifacol.2017.08.860
EID:

2-s2.0-85031811765
Contributors: Acuña, D.E.; Orchard, M.E.
Source: Self-asserted source
David E. Acuña-Ureta via Scopus - Elsevier

Application of multiple-imputation-particle-filter for parameter estimation of visual binary stars with incomplete observations

Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
2016 | Conference paper
EID:

2-s2.0-85030222722
Contributors: Clavería, R.M.; Acuña, D.; Méndez, R.A.; Silva, J.F.; Orchard, M.E.
Source: Self-asserted source
David E. Acuña-Ureta via Scopus - Elsevier

Particle-filtering-based state-of-health estimation and end-of-life prognosis for lithium-ion batteries at operation temperature

Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
2016 | Conference paper
EID:

2-s2.0-85030238157
Contributors: Pola, D.; Guajardo, F.; Jofré, E.; Quintero, V.; Pérez, A.; Acuña, D.; Orchard, M.
Source: Self-asserted source
David E. Acuña-Ureta via Scopus - Elsevier

Modeling and prediction of criminal activity based on spatio-temporal probabilistic risk functions

Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
2015 | Conference paper
EID:

2-s2.0-85016129459
Contributors: Flores, P.; Vergara, M.; Fuentes, P.; Jaramillo, F.; Acuña, D.; Perez, A.; Orchard, M.
Source: Self-asserted source
David E. Acuña-Ureta via Scopus - Elsevier

Multiple-imputation-particle-filtering for uncertainty characterization in battery state-of-charge estimation problems with missing measurement data: Performance analysis and impact on prognostic algorithms

International Journal of Prognostics and Health Management
2015 | Journal article
EID:

2-s2.0-84937231197
Contributors: Acŭna, D.E.; Orchard, M.E.; Silva, J.F.; Pérez, A.
Source: Self-asserted source
David E. Acuña-Ureta via Scopus - Elsevier

Multiple-imputation-particle-filtering scheme for uncertainty characterization in battery state-of-charge estimation problems with missing measurement data

PHM 2014 - Proceedings of the Annual Conference of the Prognostics and Health Management Society 2014
2014 | Conference paper
EID:

2-s2.0-84920540747
Contributors: Acuña, D.E.; Orchard, M.E.; Silva, J.F.; Pérez, A.
Source: Self-asserted source
David E. Acuña-Ureta via Scopus - Elsevier
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